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Next-Gen Robot Learning Symposium
Description
Description
The "Next-Gen Robot Learning Symposium" will be held at the Technical University of Darmstadt (TU Darmstadt) on 4th November 2024. It will be an exciting event that brings together researchers to discuss the latest advancements in robot learning. The symposium will focus on several important topics, including imitation learning, reinforcement learning, and large language & vision models applied to robotics. The event will bring together a cohort of top researchers, both early-career and established ones, to discuss highly relevant problems in robot learning and open up new directions for developing systems and algorithms.
The symposium is open to the public, and anyone interested in robot learning is welcome to attend. However, the number of participants is limited, so please register for participation using the link below:
Speakers
Speakers
Schedule
Schedule
10:45 - 11:30 Yunzhu Li: "Foundation Models for Robotic Manipulation: Opportunities and Challenges"
11:30 - 12:15 Nima Fazeli: "TBD"
12:15 - 13:45 Lunch Break
13:45 - 14:30 Dian Wang & Haojie Huang: "Equivariant Learning for Robotic Manipulation"
14:30 - 15:15 Vikash Kumar: "Should? And What Should Robots Learn from Humans?"
15:15 - 16:00 Coffee break
16:00 - 16:45 Kiana Ehsani: "Beyond Rules and Rewards: From Pixels to Adaptive Policies"
16:45 - 17:30 Oliver Kroemer: "Skills - Structure and Scope"
Organizers
Organizers
Venue
Venue
Room 283,
S1 | 03,
TU Darmstadt,
Hochschulstrasse 1,
64289, Darmstadt
Germany
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