Chen Bao 鲍辰

News

• [2026/05] 🎉 ARI is acquired by Meta. I join Meta Superintelligence Labs.
• [2025/07] 🎉 I join Assured Robot Intelligence (ARI) as a founding researcher.
• [2025/01] 🎉 I join Skild AI as a member of technical staff.
• [2025/03] 🎉 ManiSkill3 is accepted at RSS'25 and as an oral presentation at the ICLR Robot Learning Workshop.
• [2023/11] 🎉 One paper wins the outstanding paper award at the Language Robotics workshop CoRL 2023 and gets accepted to ICLR 2024 as Spotlight.
• [2023/08] 🎉 I join CMU Robotics Institute as a graduate student.

Intro

I am a Researcher at Meta Superintelligence Labs, working on frontier robotics models. Previously, I was a founding researcher at Assured Robot Intelligence (ARI), which was acquired by Meta in May 2026.

I received my Master's degree from the Robotics Institute at Carnegie Mellon University, where I worked with Prof. Abhinav Gupta and Prof. Xiaolong Wang. After graduating, I worked at Skild AI with Prof. Deepak Pathak. Prior to CMU, I conducted research at Shanghai Jiao Tong University with Prof. Cewu Lu.

My research focuses on scalable learning for humanoid robots. I received offers from Princeton University and University of Illinois at Urbana-Champaign for Fall 2025 PhD programs, but decided to pursue opportunities in industry.

Research

HandsOnVLM: Vision-Language Models for Hand-Object Interaction Prediction

Chen Bao, Jiarui Xu, Xiaolong Wang†, Abhinav Gupta†, Homanga Bharadhwaj†.

Transactions on Machine Learning Research, TMLR 2025

[Paper] [Website] [Code]

ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI

Stone Tao, Fanbo Xiang, Arth Shukla, Yuzhe Qin, Xander Hinrichsen, Xiaodi Yuan, Chen Bao*, Xinsong Lin, Yulin Liu, Tse-kai Chan, Yuan Gao, Xuanlin Li, Tongzhou Mu, Nan Xiao, Arnav Gurha, Zhiao Huang, Roberto Calandra, Rui Chen, Shan Luo, Hao Su.

Robotics: Science and Systems, RSS 2025

ICLR 2025 Workshop on Robot Learning (Oral)

[Paper] [Website] [Code]

GenSim: Generating Robotic Simulation Tasks via Large Language Models

Lirui Wang, Yiyang Ling*, Zhecheng Yuan*, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang.

International Conference on Learning Representations (Spotlight), ICLR 2024

CoRL 2023 Workshop on Language Grounding and Robot Learning (Best Paper)

[Paper] [Website] [Code] [Demo]

DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects

Chen Bao*, Helin Xu*, Yuzhe Qin, Xiaolong Wang.

Computer Vision and Pattern Recognition Conference, CVPR 2023

[Paper] [Website] [Code] [Video]

RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments

Haoyu Xiong*, Haoyuan Fu*, Jieyi Zhang, Chen Bao, Qiang Zhang, Yongxi Huang, Wenqiang Xu, Animesh Garg, Cewu Lu.

Conference on Robot Learning (Oral), CoRL 2022

[Paper] [Website]

Selected Awards and Honors

• 2023: Shanghai Outstanding Graduate (5%)
• 2023: The Second Prize in ManiSkill2 Challenge (6000USD$)
• 2022: Yingjiao Scholarship (12000RMB¥)
• 2021: Shaoqiu Scholarship (10000RMB¥)
• 2021: Merit Student of Shanghai Jiao Tong University
• 2020: The First Prize of RoboMaster 2020 University Championship
• 2020: Junyuan Scholarship (3000RMB¥)
• 2018: The Second Prize of National Olympiad in Informatics in Provinces, Shanghai, China