As part of the Traffic21 initiative at CMU, we are investigating the design and application of adaptive traffic signal control strategies for urban road networks. Our research has three broad themes: (1) development of signalization strategies that allow real-time response to shifts in traffic conditions
As part of the Traffic21 initiative at CMU, we are investigating the design and application of adaptive traffic signal control strategies for urban road networks. Our research has three broad themes: (1) development of signalization strategies that allow real-time response to shifts in traffic conditions
Non-contact 3-D surgical instrument tracking for device testing and surgeon assessment.
Non-contact 3-D surgical instrument tracking for device testing and surgeon assessment.
As robotics technology evolves to a stage where co-robots, or robots that can work with humans, become a reality, we need to ensure that these co-robots are equally capable of interacting with humans with disabilities. This project addresses this challenge by exploring meaningful human-robot interaction (HRI) in the context of assistive robots for blind travelers.
As robotics technology evolves to a stage where co-robots, or robots that can work with humans, become a reality, we need to ensure that these co-robots are equally capable of interacting with humans with disabilities. This project addresses this challenge by exploring meaningful human-robot interaction (HRI) in the context of assistive robots for blind travelers.
The goal of this project is to use data from 3D sensors to automatically reconstruct compact, accurate, and semantically rich models of building interiors.
The goal of this project is to use data from 3D sensors to automatically reconstruct compact, accurate, and semantically rich models of building interiors.
The goal of this project is to develop efficient, high-performance motion planning methodologies for highway and urban autonomous driving.
The goal of this project is to develop efficient, high-performance motion planning methodologies for highway and urban autonomous driving.
The ACE project is concerned with autonomous mobile assembly.
The ACE project is concerned with autonomous mobile assembly.
As DoD autonomous vehicles begin to take on more-complex and longer-duration missions they will need to incorporate knowledge about the current state of their sensing, actuation, and computing capabilities into their mission and task planning.
As DoD autonomous vehicles begin to take on more-complex and longer-duration missions they will need to incorporate knowledge about the current state of their sensing, actuation, and computing capabilities into their mission and task planning.
This project investigates safety verification of autonomous driving behaviors.
This project investigates safety verification of autonomous driving behaviors.
The research project aims to design and demonstrate new sensor technologies for autonomously gathering crop and canopy size estimates from a vineyard -- expediently, precisely, accurately and at high-resolution -- with the goal to improve vineyard efficiency by enabling producers to measure and manage the principal components of grapevine production on an individual vine basis.
The research project aims to design and demonstrate new sensor technologies for autonomously gathering crop and canopy size estimates from a vineyard -- expediently, precisely, accurately and at high-resolution -- with the goal to improve vineyard efficiency by enabling producers to measure and manage the principal components of grapevine production on an individual vine basis.
We are developing implantable biodegradable electronic devices offer the potential to provide therapeutic functions for limited periods of time - weeks to months – degrading in register with the anticipated needs of the application and thus not requiring surgical removal. One application is a biodegradable radio frequency (RF) power generator connected to electrical stimulating electrodes to enhance bone regeneration.
We are developing implantable biodegradable electronic devices offer the potential to provide therapeutic functions for limited periods of time - weeks to months – degrading in register with the anticipated needs of the application and thus not requiring surgical removal. One application is a biodegradable radio frequency (RF) power generator connected to electrical stimulating electrodes to enhance bone regeneration.
We are developing implantable, wireless MEMs-based sensors for various applications, such as monitoring bone regeneration and left ventricular pressure, to provide timely feedback to clinicians to help make better decisions on timing of therapeutic interventions.
We are developing implantable, wireless MEMs-based sensors for various applications, such as monitoring bone regeneration and left ventricular pressure, to provide timely feedback to clinicians to help make better decisions on timing of therapeutic interventions.
We have designed and built inkjet-based bioprinters to controllably deposit spatial patterns of various growth factors and other signaling molecules on and in biodegradable scaffold materials to guide tissue regeneration.
We have designed and built inkjet-based bioprinters to controllably deposit spatial patterns of various growth factors and other signaling molecules on and in biodegradable scaffold materials to guide tissue regeneration.
We have developed a manufacturing process to convert donated blood plasma and platelets into inexpensive, off-the-shelf bioactive plastics to enhance and accelerate tissue healing. These materials contain nature’s own mix of growth factors in highly concentrated solid to semi-solid forms that controllably elute these factors as the bioplastics degrade. This technology is currently in human clinical trials.
We have developed a manufacturing process to convert donated blood plasma and platelets into inexpensive, off-the-shelf bioactive plastics to enhance and accelerate tissue healing. These materials contain nature’s own mix of growth factors in highly concentrated solid to semi-solid forms that controllably elute these factors as the bioplastics degrade. This technology is currently in human clinical trials.
The Chiara is a new, open source educational robot, developed at Carnegie Mellon University's
Tekkotsu lab, that will be manufactured and sold by
RoPro Design, Inc
The Chiara is a new, open source educational robot, developed at Carnegie Mellon University's
Tekkotsu lab, that will be manufactured and sold by
RoPro Design, Inc
We are developing a MEMS extraction module which reads in the geometric description of the layout structure and reconstructs the corresponding schematic.
We are developing a MEMS extraction module which reads in the geometric description of the layout structure and reconstructs the corresponding schematic.
CASC is a multi-institutional initiative led by Carnegie Mellon Robotics Institute to comprehensively address the needs of specialty agriculture focusing on apples and horticultural stock.
CASC is a multi-institutional initiative led by Carnegie Mellon Robotics Institute to comprehensively address the needs of specialty agriculture focusing on apples and horticultural stock.
We are developing a system to help clinicians to precisely navigate various catheters inside human hearts.
We are developing a system to help clinicians to precisely navigate various catheters inside human hearts.
In this project, we are investigating ways to leverage spatial context for the recognition of core building components, such as walls, floors, ceilings, doors, and doorways for the purpose of modeling interiors using 3D sensor data.
In this project, we are investigating ways to leverage spatial context for the recognition of core building components, such as walls, floors, ceilings, doors, and doorways for the purpose of modeling interiors using 3D sensor data.
This project's vision is to have large numbers of very inexpensive airboats provide situational awareness and deliver critical emergency supplies to flood victims.
This project's vision is to have large numbers of very inexpensive airboats provide situational awareness and deliver critical emergency supplies to flood victims.
This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
This project aims to compute quantitative behavioral measures related todepression severity from facial expression, body gestures, and vocalprosody in clinical interviews.
This project aims to compute quantitative behavioral measures related todepression severity from facial expression, body gestures, and vocalprosody in clinical interviews.
The goal of this project is to develop methods to accurately model wall surfaces even when they are partially occluded and contain numerous openings, such as windows and doorways.
The goal of this project is to develop methods to accurately model wall surfaces even when they are partially occluded and contain numerous openings, such as windows and doorways.
We are developing novel dynamically-stable rolling machine and walking machine research platforms to study interactions with people and operating in normal home and workplace environments.
We are developing novel dynamically-stable rolling machine and walking machine research platforms to study interactions with people and operating in normal home and workplace environments.
"Extrinsic Dexterity" is a way to get dexterous manipulation with a very simple hand, by coordinating finger motion with arm motion. The more common approach is to depend entirely on the fingers of the hand, which requires at least three fingers and at least nine motors. We have demonstrated Extrinsic Dexterity using the single motor of the MLab Hand, coordinated with the motions of the arm.
"Extrinsic Dexterity" is a way to get dexterous manipulation with a very simple hand, by coordinating finger motion with arm motion. The more common approach is to depend entirely on the fingers of the hand, which requires at least three fingers and at least nine motors. We have demonstrated Extrinsic Dexterity using the single motor of the MLab Hand, coordinated with the motions of the arm.
Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
Cyber-Physical Systems (CPS) encompass a large variety of systems including example future energy systems (e.g. smart grid), homeland security and emergency response, smart medical technologies, smart cars and air transportation. The goal of this project is to develop cognitively-based analytic models of human operators so that they can be integrated with models of the physical/robotic system so that the whole mixed human-CPS system can be formally verified.
Cyber-Physical Systems (CPS) encompass a large variety of systems including example future energy systems (e.g. smart grid), homeland security and emergency response, smart medical technologies, smart cars and air transportation. The goal of this project is to develop cognitively-based analytic models of human operators so that they can be integrated with models of the physical/robotic system so that the whole mixed human-CPS system can be formally verified.
We are developing tools and techniques to support formal verification of autonomous systems.
We are developing tools and techniques to support formal verification of autonomous systems.
shorten MEMS development cycle
shorten MEMS development cycle
We are part of a $30 million international competition to safely land a robot on the surface of the Moon, travel 500 meters over the lunar surface, and send images and data back to the Earth.
We are part of a $30 million international competition to safely land a robot on the surface of the Moon, travel 500 meters over the lunar surface, and send images and data back to the Earth.
In this project, we are developing mapping and localization methods that combine aerial imagery from satellite and aerial platforms with maps and perception from ground-based robots to produce integrated maps even when GPS is unavailable.
In this project, we are developing mapping and localization methods that combine aerial imagery from satellite and aerial platforms with maps and perception from ground-based robots to produce integrated maps even when GPS is unavailable.
We have developed a novel and relatively simple method for magnifying forces perceived by an operator using a tool. A sensor measures the force between the tip of a tool and its handle held by the operator’s fingers.
We have developed a novel and relatively simple method for magnifying forces perceived by an operator using a tool. A sensor measures the force between the tip of a tool and its handle held by the operator’s fingers.
A miniature mobile robot for minimally invasive therapy on the beating heart through a single percutaneous incision.
A miniature mobile robot for minimally invasive therapy on the beating heart through a single percutaneous incision.
In this project we develop the trajectory planning system for an autonomous helicopter. The helicopter is used for cargo delivery. To read more about the trajectory planning system see the following publications.
In this project we develop the trajectory planning system for an autonomous helicopter. The helicopter is used for cargo delivery. To read more about the trajectory planning system see the following publications.
We developed and tested a prototype based on an innovative approach of a highly articulated robotic probe.
We developed and tested a prototype based on an innovative approach of a highly articulated robotic probe.
Machine learning algorithms to detect hot flashes in women using physiological measures.
Machine learning algorithms to detect hot flashes in women using physiological measures.
The human-robot interaction project explores aspects of social interaction between people and robots, in particular how robots should be designed to provide people with appropriate interactions.
The human-robot interaction project explores aspects of social interaction between people and robots, in particular how robots should be designed to provide people with appropriate interactions.
We are developing inexpensive robotic approaches towards hydroponic growing, which can increase overall crop yield.
We are developing inexpensive robotic approaches towards hydroponic growing, which can increase overall crop yield.
We have developed a new image-based guidance system for microsurgery using optical coherence tomography (OCT), which presents a continuously updated virtual image in its correct location inside the scanned tissue. OCT provides real-time, 6-micron resolution images at video rates within a 2-6 mm axial range in soft or transparent tissue, and is therefore suitable for guidance to various targets in the eye.
We have developed a new image-based guidance system for microsurgery using optical coherence tomography (OCT), which presents a continuously updated virtual image in its correct location inside the scanned tissue. OCT provides real-time, 6-micron resolution images at video rates within a 2-6 mm axial range in soft or transparent tissue, and is therefore suitable for guidance to various targets in the eye.
Our goal is to fly indoors in degraded visual environments to localize people and fire. We are developing accurate real-time localization and control to be able to fly in these challenging conditions.
Our goal is to fly indoors in degraded visual environments to localize people and fire. We are developing accurate real-time localization and control to be able to fly in these challenging conditions.
Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
Developing a monolithic inertial measurement unit that exploits integrated-microdevice CAD tools to achieve superior system performance over individual microdevices.
Developing a monolithic inertial measurement unit that exploits integrated-microdevice CAD tools to achieve superior system performance over individual microdevices.
Our goal is to allow people and intelligent and dexterous machines to work together safely as partners in assembly operations performed within industrial workcells. To ensure the safety of people working amidst active robotic devices, we use vision and 3D sensing technologies, such as stereo cameras and flash LIDAR, to detect and track people and other moving objects within the workcell.
Our goal is to allow people and intelligent and dexterous machines to work together safely as partners in assembly operations performed within industrial workcells. To ensure the safety of people working amidst active robotic devices, we use vision and 3D sensing technologies, such as stereo cameras and flash LIDAR, to detect and track people and other moving objects within the workcell.
Filtering of joystick input for computer users with movement disorders
Filtering of joystick input for computer users with movement disorders
Self-paced robotics education labs
Self-paced robotics education labs
Robotic field investigation will bring new scientific understanding of the Atacama as a habitat for life with distinct analogies to Mars.
Robotic field investigation will bring new scientific understanding of the Atacama as a habitat for life with distinct analogies to Mars.
A pipe-crawling robot visually inspects pipes in liquid natural gas (LNG) plants for corrosion.
A pipe-crawling robot visually inspects pipes in liquid natural gas (LNG) plants for corrosion.
We leverage perception technology originally developed for ground-based robot vehicles during 20 years of research at the Field Robotics Center. We combine this proven perception and control technology with aircraft-centric engineering and optimization.
We leverage perception technology originally developed for ground-based robot vehicles during 20 years of research at the Field Robotics Center. We combine this proven perception and control technology with aircraft-centric engineering and optimization.
We are working with the US Army's TATRC department (Telemedicine & Advanced Technology Research Center) to integrate a snake robot into the LSTAT system.
We are working with the US Army's TATRC department (Telemedicine & Advanced Technology Research Center) to integrate a snake robot into the LSTAT system.
Icebreaker is a proposed mission to explore the south pole of the Moon.
Icebreaker is a proposed mission to explore the south pole of the Moon.
This research develops lightweight robotic excavators for digging and transporting regolith (loose soil) on the Moon.
This research develops lightweight robotic excavators for digging and transporting regolith (loose soil) on the Moon.
The Scarab lunar rover has been designed to carry a 1-meter coring drill and a payload of science instruments that can analyze the abundance of hydrogen, oxygen and other materials.
The Scarab lunar rover has been designed to carry a 1-meter coring drill and a payload of science instruments that can analyze the abundance of hydrogen, oxygen and other materials.
The goal of this project is develop the next level of capability for a low-flying, map building MAV scout. The research will demonstrate rapid scouting in cluttered environments and acquire relevant semantically annotated maps.
The goal of this project is develop the next level of capability for a low-flying, map building MAV scout. The research will demonstrate rapid scouting in cluttered environments and acquire relevant semantically annotated maps.
Suppression of hand tremor to improve precision in microsurgery.
Suppression of hand tremor to improve precision in microsurgery.
Articulated locomoting robots are the center of ongoing research project in the Robotics Institute Biorobotics lab. We call our robots Modsnakes because they have a modular, i.e. repeating, structure of the same element. Each module has a single rotational degree of freedom and when chained together, form the snake robot.
Articulated locomoting robots are the center of ongoing research project in the Robotics Institute Biorobotics lab. We call our robots Modsnakes because they have a modular, i.e. repeating, structure of the same element. Each module has a single rotational degree of freedom and when chained together, form the snake robot.
This project is attempting to elucidate the basic principles governing environmental field model synthesis based on the integration of adaptive robot sampling with human decision-making
This project is attempting to elucidate the basic principles governing environmental field model synthesis based on the integration of adaptive robot sampling with human decision-making
The MORSE project is a simulated range operation, designed to evaluate effectiveness of the cognitive models and agents, in order to improve individual and team performance.
The MORSE project is a simulated range operation, designed to evaluate effectiveness of the cognitive models and agents, in order to improve individual and team performance.
Autonomous motion planning and control for robots working in reconfigurable environments.
Autonomous motion planning and control for robots working in reconfigurable environments.
Safe and independent navigation of urban environments is a key feature of accessible cities. People who have physical challenges need practical, customizable, low-cost and easily-deployable mobility aids to help them safely navigate urban environments. Technology tools provide opportunities to empower people with disabilities to overcome some day-to-day challenges.
Safe and independent navigation of urban environments is a key feature of accessible cities. People who have physical challenges need practical, customizable, low-cost and easily-deployable mobility aids to help them safely navigate urban environments. Technology tools provide opportunities to empower people with disabilities to overcome some day-to-day challenges.
We are developing high accuracy proportional steering of flexible needles for minimally invasive navigation in the brain.
We are developing high accuracy proportional steering of flexible needles for minimally invasive navigation in the brain.
We are applying machine learning techniques to model and compute long-term and short-term trajectories of people in a variety of settings.
We are applying machine learning techniques to model and compute long-term and short-term trajectories of people in a variety of settings.
Developing algorithms for autonomous manipulation.
Developing algorithms for autonomous manipulation.
We are using video cameras to give vision to the ultrasound transducer. This could eventually lead to automated analysis of the ultrasound data within its anatomical context, as derived from an ultrasound probe with its own visual input about the patient’s exterior. We are exploring both probe-mounted cameras, as well as optically-tracked stand-alone cameras which could view a larger portion of the patient's exterior.
We are using video cameras to give vision to the ultrasound transducer. This could eventually lead to automated analysis of the ultrasound data within its anatomical context, as derived from an ultrasound probe with its own visual input about the patient’s exterior. We are exploring both probe-mounted cameras, as well as optically-tracked stand-alone cameras which could view a larger portion of the patient's exterior.
The goal of this project is to increase the effectiveness of paratransit service providers in managing daily operations through the development and deployment of dynamic, real-time scheduling technology.
The goal of this project is to increase the effectiveness of paratransit service providers in managing daily operations through the development and deployment of dynamic, real-time scheduling technology.
We are researching and developing methods to empower consumers and service providers in the design and evaluation of accessible transportation equipment, information services, and physical environments.
We are researching and developing methods to empower consumers and service providers in the design and evaluation of accessible transportation equipment, information services, and physical environments.
This project is developing technology to map riverine environments from a low-flying rotorcraft. Challenges include dealing with varying appearance of the river and surrounding canopy, intermittent GPS and a highly constrained payload. We are developing self-supervised algorithms that can segment images from onboard cameras to determine the course of the river ahead, and we are developing devices and methods capable of mapping the shoreline.
This project is developing technology to map riverine environments from a low-flying rotorcraft. Challenges include dealing with varying appearance of the river and surrounding canopy, intermittent GPS and a highly constrained payload. We are developing self-supervised algorithms that can segment images from onboard cameras to determine the course of the river ahead, and we are developing devices and methods capable of mapping the shoreline.
In collaboration with the Drama Department, we are developing technology for long-term social interaction.
In collaboration with the Drama Department, we are developing technology for long-term social interaction.
We present a fleet of autonomous Robot Sensor Boats (RSBs) developed for lake and river fresh water quality assessment and controlled by our Multilevel Autonomy Robot Telesupervision Architecture (MARTA).
We present a fleet of autonomous Robot Sensor Boats (RSBs) developed for lake and river fresh water quality assessment and controlled by our Multilevel Autonomy Robot Telesupervision Architecture (MARTA).
Robots are potential tools for life saving in underground rescueoperations like mine disasters. Human rescuers are thwarted by rooffalls, explosion dangers, quality of air, visibility through smoke anddust, mental stress and physical endurance.
Robots are potential tools for life saving in underground rescueoperations like mine disasters. Human rescuers are thwarted by rooffalls, explosion dangers, quality of air, visibility through smoke anddust, mental stress and physical endurance.
The goal of this project is to develop robust autonomous freeway driving behaviors that include: distance keeping handling entrance ramps; high-density traffic lane selection and merging; reasoning about sensor confidence, degradation, and failure; and accommodation of human-in-the-loop interaction.
The goal of this project is to develop robust autonomous freeway driving behaviors that include: distance keeping handling entrance ramps; high-density traffic lane selection and merging; reasoning about sensor confidence, degradation, and failure; and accommodation of human-in-the-loop interaction.
This project is developing computer vision algorithms to detect and classify highway work zones.
This project is developing computer vision algorithms to detect and classify highway work zones.
A flexible, behavior-based approach to safety lowers the risk of operating a large, fast-moving UGV.
A flexible, behavior-based approach to safety lowers the risk of operating a large, fast-moving UGV.
We have developed nodal simulation software to enable a structured representation for MEMS design using a hierarchical set of MEM components.
We have developed nodal simulation software to enable a structured representation for MEMS design using a hierarchical set of MEM components.
The Science Autonomy project seeks to improve the accuracy and effectiveness of robotic planetary investigations by enabling automatic detection of relevant science features, classification of feature properties, and exploration planning that responds on-the-fly.
The Science Autonomy project seeks to improve the accuracy and effectiveness of robotic planetary investigations by enabling automatic detection of relevant science features, classification of feature properties, and exploration planning that responds on-the-fly.
Giving Urban Search and Rescue workers more technological tools to help find and save victims of natural disasters.
Giving Urban Search and Rescue workers more technological tools to help find and save victims of natural disasters.
We are developing Unmanned Aerial Vehicles (UAVs) that sense and avoid autonomously.
We are developing Unmanned Aerial Vehicles (UAVs) that sense and avoid autonomously.
Analyzing the factors that are of importance in designing a snake robot, and implementing new designs.
Analyzing the factors that are of importance in designing a snake robot, and implementing new designs.
We are developing robots with personality.
We are developing robots with personality.
We are developing a method of medical visualization that merges real time ultrasound images with direct human vision.
We are developing a method of medical visualization that merges real time ultrasound images with direct human vision.
The Integrated Automation for Sustainable Specialty Crops Farming project teams the National Robotics Engineering Center (NREC), the University of Florida, Cornell University and John Deere to bring precision agriculture and autonomous equipment to citrus growers.
The Integrated Automation for Sustainable Specialty Crops Farming project teams the National Robotics Engineering Center (NREC), the University of Florida, Cornell University and John Deere to bring precision agriculture and autonomous equipment to citrus growers.
Generates plans for polyhedral sheet metal parts.
Generates plans for polyhedral sheet metal parts.
Stress Tests for Autonomy Architectures (STAA) finds autonomy system safety problems that are unlikely to be discovered by other types of tests.
Stress Tests for Autonomy Architectures (STAA) finds autonomy system safety problems that are unlikely to be discovered by other types of tests.
NREC developed the Sweep Monitoring System (SMS) for training soldiers and demining personnel to use hand-held land mine detectors.
NREC developed the Sweep Monitoring System (SMS) for training soldiers and demining personnel to use hand-held land mine detectors.
The Aerial Robotic Infrastructure Analyst (ARIA) rapidly creates comprehensive, high-resolution, semantically rich 3D models of infrastructure - an interactive assistant for infrastructure inspection.
The Aerial Robotic Infrastructure Analyst (ARIA) rapidly creates comprehensive, high-resolution, semantically rich 3D models of infrastructure - an interactive assistant for infrastructure inspection.
We are designing a bipedal robot to be capable of running, walking, jumping, hopping, and generally behaving in a highly dynamic manner.
We are designing a bipedal robot to be capable of running, walking, jumping, hopping, and generally behaving in a highly dynamic manner.
This project's goal is to transform the surface-based representations that are naturally derived from sensed data into volumetric representations needed by CAD and BIM.
This project's goal is to transform the surface-based representations that are naturally derived from sensed data into volumetric representations needed by CAD and BIM.
We are developing a robotic phenotyping systems for phenotyping crops for rapid breeding decisions. This system positions sensors within the canopy for measurements not observable from above or below. Machine learning and computer vision algorithms are then used to generate phenotyping data from the raw sensor data.
We are developing a robotic phenotyping systems for phenotyping crops for rapid breeding decisions. This system positions sensors within the canopy for measurements not observable from above or below. Machine learning and computer vision algorithms are then used to generate phenotyping data from the raw sensor data.
We are developing a single heterogeneous human-robot team capable of effectively locating objects of interest (treasure) spread over a complex, previously unknown environment.
We are developing a single heterogeneous human-robot team capable of effectively locating objects of interest (treasure) spread over a complex, previously unknown environment.
A tree inventory system uses vehicle-mounted sensors to automatically count and map the locations of trees in an orchard.
A tree inventory system uses vehicle-mounted sensors to automatically count and map the locations of trees in an orchard.
NREC is pioneering research and development of a low power, small, lightweight system for producing accurate 3D maps of tunnels through its Precision Tunnel Mapping program.
NREC is pioneering research and development of a low power, small, lightweight system for producing accurate 3D maps of tunnels through its Precision Tunnel Mapping program.
Automating the functions of a continuous mining machine and roof bolting units.
Automating the functions of a continuous mining machine and roof bolting units.
The purpose of this project is to develop methods for place matching that are invariant to short- and long-term environmental variations in support of autonomous vehicle localization in GPS-denied situations.
The purpose of this project is to develop methods for place matching that are invariant to short- and long-term environmental variations in support of autonomous vehicle localization in GPS-denied situations.
We are developing rough terrain trajectory generation algorithms for local path planning and optimalregional motion planning methods using a constrained search space.
We are developing rough terrain trajectory generation algorithms for local path planning and optimalregional motion planning methods using a constrained search space.
This research project aims to develop methods to automatically collect visual image data to infer, estimate and forecast crop yields -- producing yield maps with high-resolution, across large scales and with accuracy. To achieve efficiency and accuracy, statistical sampling strategies are designed for human-robot teams that are optimal in the number of samples, location of samples, cost of sampling and accuracy of crop estimates.
This research project aims to develop methods to automatically collect visual image data to infer, estimate and forecast crop yields -- producing yield maps with high-resolution, across large scales and with accuracy. To achieve efficiency and accuracy, statistical sampling strategies are designed for human-robot teams that are optimal in the number of samples, location of samples, cost of sampling and accuracy of crop estimates.
