Chenjia Bai
Chenjia Bai is a Research Scientist at the Institute of Artificial Intelligence (TeleAI), China Telecom, where he directs the Embodied AI research center. His research focuses on embodied AI, reinforcement learning, sim-to-real transfer, and robotics, including work on locomotion, dexterous manipulation, and LLM-driven planning for platforms such as humanoid and quadruped robots. He previously served as a researcher at Shanghai AI Laboratory and completed his Ph.D. at Harbin Institute of Technology. He has published extensively in top-tier AI conferences and journals, with notable work on sim-to-real gap bridging and offline reinforcement learning.
“The policy trained on simulation data alone achieves a real-robot success rate comparable to, and on some tasks higher than, the one trained on real-robot data... We attribute the cases where simulation even surpasses real data to visual diversity”
Source→“Listed as corresponding author (†) in author affiliations.”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.