no code implementations • 3 Oct 2023 • Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
We present a large empirical investigation on the use of pre-trained visual representations (PVRs) for training downstream policies that execute real-world tasks.
no code implementations • NeurIPS 2023 • Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Yecheng Jason Ma, Claire Chen, Sneha Silwal, Aryan Jain, Vincent-Pierre Berges, Pieter Abbeel, Jitendra Malik, Dhruv Batra, Yixin Lin, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier
Contrary to inferences from prior work, we find that scaling dataset size and diversity does not improve performance universally (but does so on average).
no code implementations • 7 May 2022 • Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg
Robots deployed in human-centric environments may need to manipulate a diverse range of articulated objects, such as doors, dishwashers, and cabinets.
1 code implementation • 27 Jan 2021 • Claire Chen, Krishnan Srinivasan, Jeffrey Zhang, Junwu Zhang
We use model-based trajectory optimization and control to plan and execute these primitives.
Robotics