Carnegie Mellon University
Advanced Search   
  Look in
       Title     Description
       Inactive Projects
Current Projects, Sorted Alphabetically
Adaptive Introspection for Robust Long Duration Autonomy
Long duration autonomy for unmanned systems is difficult to achieve as current systems are design limited to anticipated exceptions and do not adapt to long-term changes in the environment. In addition, the challenge of designing experiments for long durations that provoke unanticipated exceptions is difficult. In this project we will enable long-term operation in unpredictable environments by developing an adaptive introspection and deployment approach and evaluating the ideas in an experimental setup that will provoke exceptions.
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.
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 Ground Vehicle Design
Pursuing high speed navigation of unrehearsed terrain in pursuit of the 2005 DARPA Grand Challenge
Autonomous Mobile Assembly (ACE)
The ACE project is concerned with autonomous mobile assembly.
Autonomous Navigation System (ANS)
The NREC is leading the development of perception and path planning within the Autonomous Navigation System program for the Future Combat System.
Autonomous Off-Road Driving
We are developing autonomous technology for off-road driving in wilderness environments Key developments include perception, planning and control capabilities. This is a joint development with Yamaha Motor Corporation and the CMU Field Robotics Center.
Autonomous Robotics Manipulation
Carnegie Mellon’s Autonomous Robotic Manipulation (ARM-S) team develops software that autonomously performs complex manipulation tasks.
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.
Biodegradable Electronics
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.

Braille Tutor
Literacy has been shown to be a key factor in global development. For many visually impaired communities around the world, learning braille is the only means of literacy. Despite its significance and the accessibility it brings, learning to write braille still has a number of barriers. According to the World Health Organization, approximately 90% of visually impaired people worldwide live in developing communities. Despite the importance of literacy to employment, social well-being, and health, the literacy rate of this population is estimated to be very low. There are many different factors that contribute to illiteracy among people with vision impairments such as: difficulties using the traditional tool for writing braille (the slate and stylus) and the high cost of alternative braille writing tools.
Automates copper processing
Cell Tracking
We are developing fully-automated computer vision-based cell tracking algorithms and a system that automatically determines the spatiotemporal history of dense populations of cells over extended period of time.
To develop electric vehicles (EVs) that are as efficient and cost-effective as possible, we have taken a systems-level approach to design, prototyping, and analysis to produce formally-modeled active vehicle energy management.
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.
Cluster: Coordinated Robotics for Material Handling
Planetary robots which perform assembly tasks to prepare for human exploration must be able to operate in unmodeled environments and in unanticipated situations. We are working on a system of mobile robots that perform precise coordinated maneuvers for transporting assembly materials. We are also developing an interface that allows an operator to step in at various levels of autonomy, providing the system with both the efficiency of an autonomous system and the reliability of a human operator.
Cohn-Kanade AU-Coded Facial Expression Database
An AU-coded database of over 2000 video sequences of over 200 subjects displaying various facial expressions.
Comprehensive Automation for Specialty Crops (CASC)
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.
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
We present a practical approach to shape-from-silhouettes using a novel technique called coplanar shadowgram imaging that allows us to use dozens to even hundreds of views for visual hull reconstruction.
NREC designed and developed the Crusher vehicle to support the UPI program's rigorous field experimentation schedule.
We are developing a curriculum for the Introduction to Computer Science (CS1) course taught at two and four year colleges and for high school Computer Science courses.
CTA Robotics
This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.