Towards Robust Execution of Long-Horizon Whole-Body Control Tasks

Tapomayukh "Tapo" Bhattacharjee is an Assistant Professor in the Department of Computer Science at Cornell University, where he directs the EmPRISE Lab. His research aims to enable robots to assist people with mobility limitations with activities of daily living, spanning human-robot interaction, haptic perception, and robot manipulation. He received his PhD in Robotics from Georgia Institute of Technology and was an NIH Ruth L. Kirschstein NRSA postdoctoral research associate at the University of Washington.

Li Yi is a tenure-track assistant professor at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, and Chief Scientist at Beijing Galbot Co., Ltd. He received his Ph.D. from Stanford University, advised by Professor Leonidas J. Guibas. And he was previously a Research Scientist at Google. Before joining Stanford, he got his B.E. in Electronic Engineering from Tsinghua University. His recent research focuses on 3D computer vision, humanoid robot learning, and dexterous manipulation, and his mission is to equip robotic agents with the ability of understanding and interacting with the 3D world. He has published papers at top-tier computer vision, computer graphics, and machine learning conferences with more than 35000 citations. And he has served as an Area Chair for CVPR, IJCAI, and NeurIPS. His representative work includes ShapeNet, PointNet++, and HOI4D.

1. HEX: Humanoid-Aligned Experts for Cross-Embodiment Whole-Body Manipulation
2. Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
3. Human2Any: Human-to-Robot Transfer via Constraint-Aware Compositional Planning
4. Can We Tune Humanoid Behavior Foundation Models for Dynamic and Contact-Rich Tasks?
5. Native Memory Compression for Long-Horizon Robotic Manipulation
6. Visibility-Aware Mobile Grasping in Dynamic Environments

Fan Shi is an Assistant Professor at the National University of Singapore, where he holds the prestigious NUS Presidential Young Professorship. His research lies at the intersection of artificial intelligence and robotics, with a focus on physical simulation, robot learning, and the development of scalable methods for embodied intelligence. His work has been recognized through awards and support from leading organizations, including the NVIDIA Academic Grant Program, Google Research, and the Swiss AI Initiative.

Marcel Torne is a researcher at Stanford University. His research focuses on learning-based assistive robots and methods for in-context adaptation of policies to unseen scenarios with an emphasis on human-centric approaches.

Tianyu Li is the Co-Founder of Archon Robotics, where he is building Large Humanoid Models toward general-purpose whole-body intelligence. He is also a PhD researcher at Fudan University and the Shanghai Innovation Institute, conducting research at OpenDriveLab under the supervision of Prof. Hongyang Li. His work centers on humanoid robot learning, autonomos driving, and 3D computer vision.