Reading Club 33's Core Theme: Perceiving, Predicting, and Planning for Physical Interaction
Hongyu Li, Robotics Researcher at NVIDIA
Keynote 2: AdaJEPA
Ying Wang, NYU
Keynote 3: Ben Zhou (Memories.ai)
Lightning Talk 4: GPT-6 CUA → Robotics: The Next Real2Sim2Real?
Tonghe Zhang (CMU)
How CUA training in GPT-6 could directly reshape robot perception, planning, and decision-making—and unlock new possibilities for agentic Real2Sim2Real.
But agentic robotics has a catch: where does language-model agency actually help, and where does it break in the physical world? 👀
Reading Club 33's Core Theme: Perceiving, Predicting, and Planning for Physical Interaction
Hongyu Li, Robotics Researcher at NVIDIA
Keynote 2: AdaJEPA
Ying Wang, NYU
Keynote 3: Ben Zhou (Memories.ai)
Lightning Talk 4: GPT-6 CUA → Robotics: The Next Real2Sim2Real?
Tonghe Zhang (CMU)
How CUA training in GPT-6 could directly reshape robot perception, planning, and decision-making—and unlock new possibilities for agentic Real2Sim2Real.
But agentic robotics has a catch: where does language-model agency actually help, and where does it break in the physical world? 👀