In this event, we are thrilled to host three speakers from the Division of Robotics, Perception and Learning at KTH Royal Institute of Technology. They will guide us through current-trend research topics being explored over the Robotics panorama. Firstly, Dr. Michael C. Welle, in his speech Structured Representation for Robotic Manipulation, will explain how deformable objects manipulation tasks can benefit from representation of data structuring. Then, Dr. Hang Yin, in his talk Provable and Efficient Reinforcement Learning of Robotic Manipulation, will describe how control theory, robot dynamics and structured neural networks could be blent to design informative policies. Finally, Dr. Christian Pek in his presentation Correcting learned robot policies with human feedback will explain how to narrow the gap between simulation and real-world scenarios in Robotics tasks by leveraging human-based feedback.
RPL @ KTH
Postdoctoral Researcher
RPL @ KTH
Postdoctoral Researcher
RPL @ KTH
Postdoctoral Researcher
CVLab @ EPFL
Computer Vision Research Engineer
ETH Zurich
GDSC Lead
ETH Zürich
GDSC Lead
ETH Zürich
GDSC Lead
Core Team Member
ETH Zurich
Core Team Member
ETH Zurich
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH
Core Team Member
Core Team Member
Core Team Member
Core Team Member
Core Team Member
ETH Zürich
Core Team Member
Core Team Member