Publications
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field.
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1 - 15 of 199 publications
Robotics
See Through Vehicles: Fully Occluded Vehicle Detection with Millimeter Wave Radar
Chenming He
Chengzhen Meng
Chunwang He
Beibei Wang
Yubo Yan
Yanyong Zhang
MobiCom 2024: The 30th Annual International Conference On Mobile Computing And Networking
Scalable Multi-Sensor Robot Imitation Learning via Task-Level Domain Consistency
Armando Fuentes
Daniel Ho
Eric Victor Jang
Matt Bennice
Mohi Khansari
Nicolas Sievers
Yuqing Du
ICRA (2023) (to appear)
Robotic Table Tennis: A Case Study into a High Speed Learning System
Jon Abelian
Saminda Abeyruwan
Michael Ahn
Justin Boyd
Erwin Johan Coumans
Omar Escareno
Wenbo Gao
Navdeep Jaitly
Juhana Kangaspunta
Satoshi Kataoka
Gus Kouretas
Yuheng Kuang
Corey Lynch
Thinh Nguyen
Ken Oslund
Barney J. Reed
Anish Shankar
Avi Singh
Grace Vesom
Peng Xu
Robotics: Science and Systems (2023)
A Connection between Actor Regularization and Critic Regularization in Reinforcement Learning
Benjamin Eysenbach
Matthieu Geist
Ruslan Salakhutdinov
Sergey Levine
International Conference on Machine Learning (ICML) (2023)
Single-Level Differentiable Contact Simulation
Simon Le Cleac'h
Mac Schwager
Zachary Manchester
Pete Florence
IEEE RAL (2023)
Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models
Harris Chan
Anthony Brohan
Karol Hausman
Sergey Levine
RSS 2023 (2023)
Mechanical Search on Shelves with Efficient Stacking and Destacking of Objects
Huang Huang
Letian Fu
Michael Danielczuk
Chung Min Kim
Zachary Tam
Jeff Ichnowski
Brian Ichter
Ken Goldberg
The International Symposium of Robotics Research (ISRR) (2023)
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
Saminda Abeyruwan
Nick Boffi
Anish Shankar
Jean-Jacques Slotine
Stephen Tu
Learning for Dynamics and Control (2023)
Bootstrap Your Own Skills: Learning to Solve New Tasks with Large Language Model Guidance
Jesse Zhang
Jiahui Zhang
Karl Pertsch
Ziyi Liu
Xiang Ren
Shao-Hua Sun
Joseph Lim
Conference on Robot Learning 2023 (2023)
CLARA: Classifying and Disambiguating User Commands for Reliable Interactive Robotic Agents
Jeongeun Park
Seungwon Lim
Joonhyung Lee
Sangbeom Park
Sungjoon Choi
Youngjae Yu
IEEE Robotics and Automation Letters (2023) (to appear)
Safe Reinforcement Learning for Legged Locomotion
Jimmy Yang
Peter J. Ramadge
Sehoon Ha
International Conference on Robotics and Automation (2022) (to appear)
A Protocol for Validating Social Navigation Policies
Alexander Toshkov Toshev
Anthony G. Francis
Edward Lee
Leila Takayama
Soeren Pirk
Xuesu Xiao
Submission to SEANavBench 2022 Workshop (2022)
Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles
David Brooks
Gu-Yeon Wei
Kshitij Bhardwaj
Paul Whatmough
Srivatsan Krishnan
Vijay Janapa Reddi
Zishen Wan
55th IEEE/ACM International Symposium on Microarchitecture®, IEEE (2022) (to appear)
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Alexander Herzog
Alexander Toshkov Toshev
Andy Zeng
Anthony Brohan
Brian Andrew Ichter
Byron David
Chelsea Finn
Clayton Tan
Diego Reyes
Dmitry Kalashnikov
Eric Victor Jang
Jarek Liam Rettinghouse
Jornell Lacanlale Quiambao
Julian Ibarz
Karol Hausman
Kyle Alan Jeffrey
Linda Luu
Mengyuan Yan
Michael Soogil Ahn
Nicolas Sievers
Noah Brown
Omar Eduardo Escareno Cortes
Peng Xu
Peter Pastor Sampedro
Rosario Jauregui Ruano
Sally Augusta Jesmonth
Sergey Levine
Steve Xu
Yao Lu
Yevgen Chebotar
Yuheng Kuang
Conference on Robot Learning (CoRL) (2022)
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Max Allen Schwarzer
Aaron Courville
Marc G. Bellemare
NeurIPS (2022)
