Li Yi
Recently, we have witnessed a surge in interest in embodied agents that could explore and interact with complex and unstructured environments. The design and control of such intelligent agents raise a large number of interesting research questions.It is worth noting that, recent embodied AI learning works are mostly first trained in simulated environments (e.g., AI Habitat, AI2THOR, RoboSuite, SAPIEN) and then transferred to the real world. However, the simulation for embodied AI landscape is quite fragment
The key goal of this workshop is to assemble experts in simulation technology and embodied AI learning to synchronize and coordinate the efforts. First of all, this workshop would help simulation researchers to understand embodied AI learning and tailor their techniques for more effective and convenient learning. More importantly, embodied AI researchers will improve their understanding to the limitation (e.g., domain gap) of current simulation techniques, and use these simulators in a proper way. Finally,
The workshop will be held virtually in conjunction with ICCV 2021. We invited keynote speakers to cover a wide range of topics from physics-based modeling and simulation, learning-based simulation, human body simulation to embodied vision and robot learning. In addition, the workshop will feature a spotlight section for various existing simulation platforms, a spotlight section for accepted papers, a poster session and a live panel discussion.
Li Yi