Robot Workshop.pdf

The 2nd UK Robot Manipulation Workshop took place on July 10-11, with a programme featuring invited talks, posters, demos, and tutorials. Key speakers included Petar Kormushev, Raia Hadsell, and Yiannis Demiris, who discussed topics such as learning for robotic loco-manipulation, deep reinforcement learning for end-to-end grasping, and human-centered robot manipulation and learning.

The workshop covered various aspects of robot manipulation, including computer vision, haptics, and design, as well as industry applications and sensorimotor control. Other notable speakers included Andrew Davison, Maurice Fallon, and Jeremy Wyatt, who presented on topics such as SLAM, mapping, and machine learning for grasping and pushing.

The programme also included poster spotlights, demos, and refreshments, providing opportunities for attendees to engage with the latest research and technologies in robot manipulation. The event concluded with a drinks reception and dinner, followed by a second day of talks and tutorials on topics such as haptics, design, and industry applications.

Key takeaways from the workshop include the importance of machine learning and reinforcement learning in robot manipulation, as well as the need for robots to be able to learn and adapt in real-world environments. The event highlighted the latest advancements and challenges in the field, and provided a platform for researchers and industry professionals to share knowledge and ideas.