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RI Seminar
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RI Seminar
Amir Barati Farimani
Mechanical Engineering, Carnegie Mellon University
Creative Robots with Deep Reinforcement Learning
Recent advances in Deep Reinforcement Learning (DRL) algorithms provided us with the possibility of adding intelligence to robots. Recently, we have been applying a variety of DRL algorithms to the tasks that modern control theory may not be able to solve. We observed intriguing creativity from robots when they are constrained in reaching a certain [...]
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RI Seminar
Todd Murphey
Mechanical Engineering, Northwestern University
Active Learning in Robot Motion Control
Abstract: Motion motivated by information needs can be found throughout natural systems, yet there is comparatively little work in robotics on analyzing and synthesizing motion for information. Instead, engineering analysis of robots and animal motion typically depends on defining objectives and rewards in terms of states and errors on states. This is how we formulate [...]
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Amir Barati Farimani
Assistant Professor
Mechanical Engineering, Carnegie Mellon University
Todd Murphey
Professor
Mechanical Engineering, Northwestern University