Tao Chen

AI Roboticist | PhD from MIT | Expertise in Robot Learning, Manipulation, Locomotion and Navigation I'm a full-stack roboticist specializing in AI and robotics, with a focus on advancing dexterous manipulation. My work has garnered recognition in top-tier venues: • Best Paper Award, Conference on Robot Learning (CoRL) 2021 • Publications in Science Robotics and the International Journal of Robotics Research (IJRR) Education and Research: • PhD, Massachusetts Institute of Technology (MIT) Advisor: Prof. Pulkit Agrawal Focus: AI research in robot learning with applications in dexterous robotics manipulation and locomotion • MS, Robotics Institute, Carnegie Mellon University Advisor: Prof. Abhinav Gupta (co-founder, Skild.AI) Focus: AI research for robotic perception and navigation, multi-robot transfer learning • BS, Shanghai Jiao Tong University Major: Mechanical Engineering and Automation Focus: Robotics hardware and systems design and automation I'm passionate about creating intelligent robotic systems that can seamlessly interact with the physical world, pushing the boundaries of what's possible in robotics. My unique background combines deep expertise in AI and machine learning with a strong foundation in robotics hardware. This blend enables me to approach robotics challenges holistically, from algorithm design to physical implementation.