Behavior Synthesis

Divide-and-Conquer Reinforcement Learning

Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
International Conference on Learning Representations (ICLR) 2018
Paper, Movie,
webpage, arxiv, OpenReview

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

Matthias Plappert, Marcin Andrychowicz, Alex Ray, Bob McGrew, Bowen Baker, Glenn Powell, Jonas Schneider, Josh Tobin, Maciek Chociej, Peter Welinder, Vikash Kumar, Wojciech Zaremba
Teach Report 2018
Paper, Movie, webpage, arxiv

Variance Reduction for Policy Gradient with Action-dependent Baseline

Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M Bayen, Sham Kakade, Igor Mordatch, Pieter Abbeel
International Conference on Learning Representations (ICLR) 2018
Paper, arxiv, OpenReview

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Vikash Kumar*(UW, OpenAI), Aravind Rajeshwaran*(UW, OpenAI), Abhiskek Gupta(UC, Berkeley), John Schulman(OpenAI), Emanuel Todorov(UW) and Sergey Levine(UC, Berkeley)
Under Review
Paper, suppliment, Movie, webpage, arxiv

Learning Dexterous Manipulation Policies from Experience and Imitation

Vikash Kumar(UW), Abhiskek Gupta(UC, Berkeley), Emanuel Todorov(UW) and Sergey Levine(UC, Berkeley)
Under Review
Paper, Movie

BEST MANIPULATION PAPER AWARD

Optimal Control with Learned Local Models: Application to Dexterous Manipulation

Vikash Kumar(UW), Emanuel Todorov(UW) and Sergey Levine(UC, Berkeley)
IEEE International Conference on Robotics and Automation (ICRA) 2016
Paper, Movie

Real-time behaviour synthesis for dynamic Hand-Manipulation

Vikash Kumar, Yuval Tassa, Tom Erez and Emanuel Todorov
IEEE International Conference on Robotics and Automation (ICRA) 2014
Paper, Movie

An integrated system for real-time Model Predictive Control of humanoid robots

Tom Erez, Kendall Lowrey, Yuval Tassa, Vikash Kumar, Svetoslav Kolev, Emanuel Todorov
Humanoids 2013
Paper, Movie

Synthesis of Complex Behaviors with Optimal Control

Todorov Emanuel, Tassa Yuval, Erez Tom, Mordatch Igor, Kulchenko Paul, Kumar Vikash
Computational and Systems Neuroscience (COSYNE) 2013
Abstract, Movie

Virtual reality

MuJoCo HAPTIX: A Virtual Reality System for Hand Manipulation

Vikash Kumar and Emanuel Todorov
IEEE-RAS International Conference on Humanoid Robots 2015
Paper, Movie

Tracking & calibration

Precise Calibration of Robots with small link lengths using Kinematic Extensions

Visak Chadalavada, Vikash Kumar
(Under progress)
Paper, Movie

STAC: Simultaneous Tracking and Calibration

Tingfan Wu, Yuval Tassa, Vikash Kumar, Javier Movellan, Emanuel Todorov
Humanoids 2013
Paper, Movie

Robot design

A Low-cost and Modular, 20-DOF Anthropomorphic Robotic Hand: Design, Actuation and Modeling

Zhe Xu, Vikash Kumar, Emanuel Todorov
Humanoids 2013
Paper, Movie

Fast, strong and compliant pneumatic actuation for dexterous tendon-driven hands

Kumar Vikash, Todorov Emanuel
IEEE International Conference on Robotics and Automation (ICRA) 2013
Paper, Movie

Design of an anthropomorphic robotic finger system with biomimetic artificial joints

Zhe Xhe, Kumar Vikash, Matsuoka Yoki, Todorov Emanuel
IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob) 2012
Paper, Movie

Self and Mutual learning in Robotic Arm, based on Cognitive systems

Kumar Vikash, Patil Chetan, Sachan Sachan
International MultiConference of Engineers and Computer Scientists 2010 (Shortlisted for Best paper Award)
Paper, Movie

Manuscripts

Optimizing fuzzy multi-objective problems using fuzzy genetic algorithms and FZDT test functions

Kumar Vikash, Chakroborty Debjani
Paper

The UW Hand: A Low-cost, 20-DOF Tendon-driven Hand with Fast and Compliant Actuation

Zhe X, Kumar V, Todorov E.
Paper, Movie,