Pint of Robotics: A Vision Towards Feedback Robotic Manipulation, Dr Devesh Jha, Mitsubishi Electric Research Laboratories (MERL)

  • Date:
  • Time: 1700-1800
  • Location: Zoom (see below for registration link)

Speaker: Dr Devesh Jha, Mitsubishi Electric Research Laboratories (MERL)

TitleA Vision Towards Feedback Robotic Manipulation

When: Wednesday 7th April, 1700-1800

Where: Zoom (free but registration required)

Abstract: The last decade has seen remarkable progress in the fields of deep learning, artificial intelligence (AI) and reinforcement learning (RL). However, similar progress has largely eluded feedback control of physical robots — robots still operate in highly structured and engineered environments that are designed so that robots can avoid contact with their environment. This disparity has driven a lot of research in robotics to create systems which can operate autonomously. In this talk, I will present several robotic tasks with different degrees of complexity. Each of these systems present unique challenges with regards to modeling, learning, sensing and optimization. I will highlight how we address these challenges in order to achieve efficient and generalizable performance for these robotic systems. The techniques proposed in these problems could be instrumental in creating next-generation robotic systems that can (possibly) plan in simulation and operate in the real world with real-time sensing and perception. These research problems will enable a principled way to feedback robotic manipulation which will find applications in factory automation, manufacturing and human-robot collaborative environments.

Short Bio: Devesh K. Jha is currently a Principal Research​ Scientist at Mitsubishi Electric Research Laboratories (MERL) in Cambridge, MA, USA. At MERL, he has been working on fundamental projects in the areas of robot learning and manipulation, with applications to factory automation and manufacturing. He received PhD in Mechanical Engineering from Penn State in December 2016. He received M.S. degrees in Mechanical Engineering and Mathematics also from Penn State. His research interests are in the areas of Robotics, Machine Learning and Deep Learning. He is a recipient of several best paper awards including the Kalman Best Paper Award 2019 from the American Society of Mechanical Engineers (ASME), Dynamic Systems and Control Division (DSCD). He is a senior member of IEEE and an associate editor for IEEE Robotics and Automation Letters (RA-L). Outside of work, he likes to run and hike.