The research activities in this lab emphasize system modeling and analysis, embedded system design, control theory and applications, telerobotics, sensor integration and data fusion, computer vision, real-time computing, and intelligent mechatronic systems. Specific initiatives underway include multi-robot collaboration, smart reconfigurable computing module for ultra-small robots, design and control of climbing robots, autonomous navigation of UAVs, assistive navigation for visually impaired people, internet-based telerobotics, and mobile sensor networks. The problems studied here involve both theoretical development in new methodologies for control, planning, and learning, as well as implementation issues in sensory measurement, hardware design, and computer software development.
A large portion of the research is developed using the ROS framework. As the ROS wiki explains, "ROS is an open-source, meta-operating system for your robot. It provides the services you would expect from an operating system, including hardware abstraction, low-level device control, implementation of commonly-used functionality, message-passing between processes, and package management."
We are committed to contributing modular, open-source tools to the robotics research community. Check our Software Repository .
Rise-Rover is a heavy-duty vertical mobility cart that uses two drivetrain modules to carry Non-Destructive Evaluation (NDE) instrument in the middle payload compartment for detecting subsurface defects. The innovations are the fault tolerant design using two drivetrain modules with custom designed treads to carry a heavy payload of NDT instrument.
Description: This project aims to improve the accuracy and processing speed for indoor 3D mapping using RGB-D data to produce a clean, light-weight, photo-realistic representation of indoor scenes of varying sizes, in real time.