Ashwin Balakrishna

Ashwin Balakrishna

University of California, Berkeley

H-index: 18

North America-United States

About Ashwin Balakrishna

Ashwin Balakrishna, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Reinforcement Learning, Imitation Learning, Robotics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

Prismatic vlms: Investigating the design space of visually-conditioned language models

Monte carlo augmented actor-critic for sparse reward deep reinforcement learning from suboptimal demonstrations

Learning switching criteria for sim2real transfer of robotic fabric manipulation policies

Legs: Learning efficient grasp sets for exploratory grasping

Dynamics-aware comparison of learned reward functions

Scalable Supervision for Safe and Efficient Online Robot Learning

Abc-lmpc: Safe sample-based learning mpc for stochastic nonlinear dynamical systems with adjustable boundary conditions

Ashwin Balakrishna Information

University

Position

PhD Student in EECS

Citations(all)

1418

Citations(since 2020)

1394

Cited By

226

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

25

i10Index(since 2020)

25

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Ashwin Balakrishna Skills & Research Interests

Reinforcement Learning

Imitation Learning

Robotics

Machine Learning

Top articles of Ashwin Balakrishna

Title

Journal

Author(s)

Publication Date

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset

arXiv preprint arXiv:2403.12945

Alexander Khazatsky

Karl Pertsch

Suraj Nair

Ashwin Balakrishna

Sudeep Dasari

...

2024/3/19

Prismatic vlms: Investigating the design space of visually-conditioned language models

arXiv preprint arXiv:2402.07865

Siddharth Karamcheti

Suraj Nair

Ashwin Balakrishna

Percy Liang

Thomas Kollar

...

2024/2/12

Monte carlo augmented actor-critic for sparse reward deep reinforcement learning from suboptimal demonstrations

Advances in Neural Information Processing Systems

Albert Wilcox

Ashwin Balakrishna

Jules Dedieu

Wyame Benslimane

Daniel Brown

...

2022/12/6

Learning switching criteria for sim2real transfer of robotic fabric manipulation policies

Satvik Sharma

Ellen Novoseller

Vainavi Viswanath

Zaynah Javed

Rishi Parikh

...

2022/8/20

Legs: Learning efficient grasp sets for exploratory grasping

Letian Fu

Michael Danielczuk

Ashwin Balakrishna

Daniel S Brown

Jeffrey Ichnowski

...

2022/5/23

Dynamics-aware comparison of learned reward functions

Blake Wulfe

Ashwin Balakrishna

Logan Ellis

Jean Mercat

Rowan McAllister

...

2022/1/25

Scalable Supervision for Safe and Efficient Online Robot Learning

Ashwin Balakrishna

2022

Abc-lmpc: Safe sample-based learning mpc for stochastic nonlinear dynamical systems with adjustable boundary conditions

Brijen Thananjeyan

Ashwin Balakrishna

Ugo Rosolia

Joseph E Gonzalez

Aaron Ames

...

2021

Untangling dense non-planar knots by learning manipulation features and recovery policies

arXiv preprint arXiv:2107.08942

Priya Sundaresan

Jennifer Grannen

Brijen Thananjeyan

Ashwin Balakrishna

Jeffrey Ichnowski

...

2021/6/29

Disentangling dense multi-cable knots

Vainavi Viswanath

Jennifer Grannen

Priya Sundaresan

Brijen Thananjeyan

Ashwin Balakrishna

...

2021/9/27

Learning dense visual correspondences in simulation to smooth and fold real fabrics

Aditya Ganapathi

Priya Sundaresan

Brijen Thananjeyan

Ashwin Balakrishna

Daniel Seita

...

2021/5/30

Thriftydagger: Budget-aware novelty and risk gating for interactive imitation learning

????⛵️???? Conference on Robot Learning (CoRL)

Ryan Hoque

Ashwin Balakrishna

Ellen Novoseller

Albert Wilcox

Daniel S Brown

...

2021/9/17

Recovery rl: Safe reinforcement learning with learned recovery zones

IEEE Robotics and Automation Letters

Brijen Thananjeyan

Ashwin Balakrishna

Suraj Nair

Michael Luo

Krishnan Srinivasan

...

2021/3/31

Kit-Net: Self-supervised learning to kit novel 3D objects into novel 3D cavities

Shivin Devgon

Jeffrey Ichnowski

Michael Danielczuk

Daniel S Brown

Ashwin Balakrishna

...

2021/8/23

VisuoSpatial Foresight for Physical Sequential Fabric Manipulation

Autonomous Robots

Ryan Hoque

Daniel Seita

Ashwin Balakrishna

Aditya Ganapathi

Ajay Kumar Tanwani

...

2022/1

Lazydagger: Reducing context switching in interactive imitation learning

Ryan Hoque

Ashwin Balakrishna

Carl Putterman

Michael Luo

Daniel S Brown

...

2021/8/23

LS3: latent space safe sets for long-horizon visuomotor control of iterative tasks

Albert Wilcox

Ashwin Balakrishna

Brijen Thananjeyan

Joseph E Gonzalez

Ken Goldberg

2022/1/11

Policy gradient bayesian robust optimization for imitation learning

Zaynah Javed

Daniel S Brown

Satvik Sharma

Jerry Zhu

Ashwin Balakrishna

...

2021/7/1

Mesa: Offline meta-rl for safe adaptation and fault tolerance

arXiv preprint arXiv:2112.03575

Michael Luo

Ashwin Balakrishna

Brijen Thananjeyan

Suraj Nair

Julian Ibarz

...

2021/12/7

On-policy robot imitation learning from a converging supervisor

Ashwin Balakrishna

Brijen Thananjeyan

Jonathan Lee

Felix Li

Arsh Zahed

...

2020/5/12

See List of Professors in Ashwin Balakrishna University(University of California, Berkeley)

Co-Authors

H-index: 156
Sergey Levine

Sergey Levine

University of California, Berkeley

H-index: 92
Ken Goldberg

Ken Goldberg

University of California, Berkeley

H-index: 78
Chelsea Finn

Chelsea Finn

Stanford University

H-index: 68
Joseph E. Gonzalez

Joseph E. Gonzalez

University of California, Berkeley

H-index: 20
Jeong Oen Lee

Jeong Oen Lee

California Institute of Technology

H-index: 20
Daniel S. Brown

Daniel S. Brown

University of California, Berkeley

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