Publications: such as ReKep (CoRL 2024, Best Paper Award) and UAD (ICRA 2025, Best Paper Finalist); Awards: finalist for Citadel GQS Fellowship, finalist for NVIDIA Graduate Fellowship; Organized events: co-organized workshops and tutorials at various international conferences.
Research Experience
Currently a visiting student at MIT CSAIL, working with Leslie Kaelbling and Tomás Lozano-Pérez; previously worked at the Seattle Robotics Lab at NVIDIA (2024) and the Robotics team at Google Brain (2022); also collaborated with Zhuowen Tu at UC San Diego (2018).
Education
Ph.D. in Computer Science from Stanford University (2022-present), advised by Fei-Fei Li; B.A. in Computer Science from UC Berkeley (2018-2021), advised by Deepak Pathak, Igor Mordatch, and Pieter Abbeel.
Background
Research Interests: Developing structured representations and algorithms to enhance robots' generalization capabilities for open-world manipulation tasks. Specialization: Computer Science, with a focus on Robotics.
Miscellany
Contact: wenlongh [AT] stanford.edu; Social Media: Google Scholar, Twitter, GitHub