Projects
Adaptive Traffic Light Signalization
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.
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.
Automated Reverse Engineering of Buildings
The goal of this project is to use data from 3D sensors to automatically reconstruct compact, accurate, and semantically rich models of building interiors.
Autonomous Driving Motion Planning
The goal of this project is to develop efficient, high-performance motion planning methodologies for highway and urban autonomous driving.
Autonomous Mobile Assembly (ACE)
The ACE project is concerned with autonomous mobile assembly.
Autonomous Vehicle Health Monitoring
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.
Autonomous Vehicle Safety Verification
This project investigates safety verification of autonomous driving behaviors.
Autonomous Vineyard Canopy and Yield Estimation
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, 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.
Blood-Plasma Based Bioplastics
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
Circuit Extraction from MEMS Layout
We are developing a MEMS extraction module which reads in the geometric description of the layout structure and reconstructs the corresponding schematic.
Comprehensive Automation for Specialty Crops
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.
Computer Assisted Medical Instrument Navigation
We are developing a system to help clinicians to precisely navigate various catheters inside human hearts.
Context-based Recognition of Building Components
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.
Cooperative Robotic Watercraft
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.