Vikas Sindhwani
Research Areas
Authored Publications
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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)
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)
Single-Level Differentiable Contact Simulation
Simon Le Cleac'h
Mac Schwager
Zachary Manchester
Pete Florence
IEEE RAL (2023)
Trajectory Optimization with Optimization-Based Dynamics
Taylor Howell
Simon Le Cleac'h
Pete Florence
Zachary Manchester
ICRA (2022)
Robotic table wiping via whole-body trajectory optimizationand reinforcement learning
Benjie Holson
Jeffrey Bingham
Jonathan Weisz
Mario Prats
Peng Xu
Thomas Lew
Xiaohan Zhang
Yao Lu
ICRA (2022)
Continuous Control and Multiscale Sensor Fusion with Neural CDEs
Francis Edward McCann Ramirez
Jake Varley
Andy Zeng
IROS & RSS Imitation Learning Workshop (2022)
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations
Sohan Rudra
Saksham Goel
Gaurav Aggarwal
NeurIPS 5th Robot Learning Workshop: Trustworthy Robotics (2022) (to appear)
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng
Brian Ichter
Stefan Welker
Aveek Purohit
Michael Ryoo
Johnny Chung Lee
Pete Florence
arXiv (2022)
Hybrid Random Features
Haoxian Chen
Han Lin
Yuanzhe Ma
Arijit Sehanobish
Michael Ryoo
Jake Varley
Andy Zeng
Valerii Likhosherstov
Dmitry Kalashnikov
Adrian Weller
International Conference on Learning Representations (ICLR) (2022)
