The "Next-Gen Robot Learning Symposium" will be held at the Technical University of Darmstadt (TU Darmstadt) on 9th June 2026. The symposium brings together leading researchers to discuss the latest advances across the full robotics stack: from perception and state estimation to motion planning and robot learning. Topics span both foundational and applied perspectives, including physical human-robot interaction, reinforcement and imitation learning, decision making under uncertainty, and the integration of machine learning into classical robotics pipelines.
The symposium is open to the public, and anyone interested is welcome to attend. However, the number of participants is limited, so please register for participation here!
09:30 - 10:15 Sheila Sutjipto: Differentiable Representation for Robotic Perception, Learning and Action
10:15 - 11:00 Haoming Zhang: Getting In Line with Safety and Reliability in Robotics from a State Estimation View
11:00 - 11: 15 ☕ Coffee Break
11:15 - 12:00 Florian Shkurti: Evaluating manipulation policies without breaking your robots
12:00 - 14:00 🍴 Lunch Break
14:00 - 14:45 An Thai Le: Designing Planning Algorithms for the Era of Parallelism
14:45 - 15:30 Jens Kober: Representations to the Rescue
15:30 - 15:45 ☕ Coffee Break
15:45 - 16:45 ⚔️ Panel discussion: From Learning to Reliable Robot Autonomy: What Should Be Learned, Modeled, or Controlled?
16:45 - 17:00 ☕ Coffee Break
17:00 - 17:45 Kevin Luck: Exploiting Morphological Intelligence and Text-to-Network Policy Synthesis
Building S1|03
Room 283
TU Darmstadt Hochschulstr. 1
64289 Darmstadt
Germany