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.
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.
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.
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.
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.
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.
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.
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.
We are developing robots with personality.
We are developing a method of medical visualization that merges real time ultrasound images with direct human vision.