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The Need for Speed: Enabling Real-Time Manipulation through Optimization, Simulation and Deep Learning

Wednesday, June 15th, 4:10pm  

CheckPoint 480

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Yahav Avigal, UC Berkeley

Abstract:

Robots have the potential to increase productivity and reduce costs and injuries in a variety of industries, including logistics, manufacturing, agriculture, surgical procedures and healthcare. To do so, robots are required to operate robustly, reliably and increasingly more efficiently in unstructured or semi-structured environments under a high degree of uncertainty in perception and control. In this presentation, I will describe my work on improving and enabling efficient robot manipulation by addressing challenges in sensing, planning and control through optimization, simulation and deep learning.

 
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