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verityw github io william chen verityw at berkeley dot edu linkedin github twitter i am a computer science phd candidate at uc berkeley s rail lab advised by dr sergey levine my research focuses on robots that reason previously i received a m eng in electrical engineering and computer science from mit after having finished my b s in the same department i conducted my thesis work in the spark lab where i investigated the use of language models to improve robots abilities to understand their environments under dr luca carlone and jacob andreas i was also a robotics intern at nasa s jet propulsion laboratory publications steerable vision language action policies for embodied reasoning and hierarchical control william chen jagdeep bhatia catherine glossop nikhil mathihalli ria doshi andy tang danny driess karl pertsch sergey levine paper website code this work was accepted at the rss 2026 ecot lite training strategies for efficient embodied reasoning william chen suneel belkhale suvir mirchandani oier mees danny driess karl pertsch sergey levine paper website this work was accepted at the corl 2025 where it was selected as an oral presentation ecot robotic control via embodied chain of thought reasoning michał zawalski william chen karl pertsch oier mees chelsea finn sergey levine paper website code models colab this work was accepted at corl 2024 it was also featured in the 2024 state of ai report slide 77 this work was co first authored by me and michał zawalski pr2l vision language models provide promptable representations for reinforcement learning william chen oier mees aviral kumar sergey levine paper website this work was accepted to tmlr march 2025 liten learning affordances at inference time for vision language action models ameesh shah william chen adwait godbole federico mora sanjit a seshia sergey levine paper website this work was accepted at icra 2026 indoor and outdoor 3d scene graph generation via language enabled spatial ontologies jared strader nathan hughes william chen alberto speranzon luca carlone paper lampp language models as probabilistic priors for perception and action belinda z li william chen pratyusha sharma jacob andreas paper organizing and service workshops panel organizer for the evaluation and deployment workshop at corl 2025 lead organizer for the workshop on learned robot representations roboreps at rss 2025 panelist at the third workshop on language and robot learning at corl 2024 talks april 2026 invited talk at uw wisconsin s rt 2 lab education university of california berkeley ph d computer science june 2023 present supported by the ndseg fellowship teaching assistant for deep learning fall 2024 massachusetts institute of technology m eng electrical engineering and computer science feb 2022 june 2023 teaching assistant for natural language processing fall 2022 teaching assistant for robotics science and systems spring 2021 2022 b s electrical engineering and computer science aug 2019 feb 2022 bronx high school of science high school sept 2015 june 2019 template from hanggrian minimal dark theme