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Techno-Sciences Inc. Robotics Seminar Series: Dinesh Manocha, "Motion Planning"
Techno-Sciences Inc. Robotics Seminar Series
In this talk, we will give a brief overview of our recent work on motion planning and coordination for single and multi-robot systems. These include novel methods for motion planning of high-DOF robots that exploit the computational capabilities of many-core GPUs; dealing with point-cloud or noisy sensor data using machine learning and classification methods; local collision avoidance and computation of smooth trajectories for multiple robots based on reciprocal velocity obstacles; and novel methods that combine planning with linear-quadratic feedback control to handle uncertainty. We will highlight the results on the PR2 robot as well as differential-drive robot systems, such as iRobot Create mobile robots.
Along with his students, Manocha has also received 12 best paper awards at leading conferences on graphics, geometric modeling, visualization, multimedia and high-performance computing. He has published more than 300 papers and some of the software systems related to collision detection, GPU-based algorithms and geometric computing developed by his group have been downloaded by more than 100,000 users and are widely used in the industry. He has supervised 18 Ph.D. dissertations and is a fellow of ACM and AAAS.
This Event is For: Graduate • Undergraduate • Faculty • Post-Docs • Alumni