A. Balakrishna

发表

Safety Augmented Value Estimation From Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks

S. Levine, Ken Goldberg, Rowan McAllister, 2019, IEEE Robotics and Automation Letters.

Learning Robot Policies for Untangling Dense Knots in Linear Deformable Structures

Michael Laskey, Ken Goldberg, Joseph Gonzalez, 2020 .

Exploratory Grasping: Performance Bounds and Asymptotically Optimal Algorithms for Learning to Robustly Grasp an Unknown Polyhedral Object

Daniel S. Brown, Ken Goldberg, Michael Danielczuk, 2020 .

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics

Katsu Yamane, Soshi Iba, Aditya Ganapathi, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Imitation Learning from an Improving Supervisor

Ken Goldberg, Joseph Gonzalez, Jonathan N. Lee, 2019 .

Optimal Control Strategies for Trajectory Optimization with Applications to Continuous Solar Flight

A. Balakrishna, 2014 .

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor

Ken Goldberg, J. Canny, K. Yamane, 2019, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Deep Imitation Learning of Sequential Fabric Smoothing Policies

Ken Goldberg, J. Canny, K. Yamane, 2019, ArXiv.

Developing an IP core for PCI Using VHDL and its Verification

Ashwin Balakrishna, R RekhaK., A. Balakrishna, 2018 .

Learning Switching Criteria for Sim2Real Transfer of Robotic Fabric Manipulation Policies

Ellen R. Novoseller, Daniel S. Brown, Ken Goldberg, 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).

Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations

Daniel S. Brown, Ken Goldberg, A. Balakrishna, 2022, ArXiv.

Validation of sensor for postoperative positioning with intraocular gas

R. Grubbs, H. Choo, A. Balakrishna, 2016, Clinical ophthalmology.

VisuoSpatial Foresight for physical sequential fabric manipulation

Ken Goldberg, K. Yamane, A. Tanwani, 2021, Autonomous Robots.

LazyDAgger: Reducing Context Switching in Interactive Imitation Learning

Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

LEGS: Learning Efficient Grasp Sets for Exploratory Grasping

Daniel S. Brown, Ken Goldberg, Eugen Solowjow, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Novel positioning sensor with real-time feedback for improved postoperative positioning: pilot study in control subjects

R. Grubbs, E. de Juan, H. Choo, 2017, Clinical ophthalmology.

Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones

Brijen Thananjeyan, Ashwin Balakrishna, Minho Hwang, 2020, IEEE Robotics and Automation Letters.

ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning

Ashwin Balakrishna, Ryan Hoque, Ken Goldberg, 2021, CoRL.

VisuoSpatial Foresight for physical sequential fabric manipulation pdf

Katsu Yamane, Soshi Iba, Aditya Ganapathi, 2021, Autonomous Robots.

Untangling Dense Non-Planar Knots by Learning Manipulation Features and Recovery Policies pdf

Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, 2021, Robotics: Science and Systems.

Disentangling Dense Multi-Cable Knots

Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Untangling Dense Knots by Learning Task-Relevant Keypoints pdf

Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, 2020, CoRL.

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation

Ken Goldberg, K. Yamane, A. Tanwani, 2020, Robotics: Science and Systems.

Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data

Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter

Silvio Savarese, Ashwin Balakrishna, Kenneth Y. Goldberg, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Monte Carlo Augmented Actor-Critic for Sparse Reward Deep Reinforcement Learning from Suboptimal Demonstrations

Daniel S. Brown, Ken Goldberg, A. Balakrishna, 2022, NeurIPS.

A microscale optical implant for continuous in vivo monitoring of intraocular pressure

Ashwin Balakrishna, Hyuck Choo, Haeri Park, 2017, Microsystems & Nanoengineering.

Reliable Real‐Time Seismic Signal/Noise Discrimination With Machine Learning

Yisong Yue, Ashwin Balakrishna, Zefeng Li, 2019, Journal of Geophysical Research: Solid Earth.

ABC-LMPC: Safe Sample-Based Learning MPC for Stochastic Nonlinear Dynamical Systems with Adjustable Boundary Conditions pdf

Brijen Thananjeyan, Ashwin Balakrishna, Joseph E. Gonzalez, 2020, WAFR.

Learning Dense Visual Correspondences in Simulation to Smooth and Fold Real Fabrics

Ken Goldberg, Joseph Gonzalez, K. Yamane, 2020, 2021 IEEE International Conference on Robotics and Automation (ICRA).

MMGSD: Multi-Modal Gaussian Shape Descriptors for Correspondence Matching in 1D and 2D Deformable Objects pdf

Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, 2020, ArXiv.

Learning to Smooth and Fold Real Fabric Using Dense Object Descriptors Trained on Synthetic Color Images pdf

Katsu Yamane, Soshi Iba, Aditya Ganapathi, 2020, ArXiv.

Kit-Net: Self-Supervised Learning to Kit Novel 3D Objects into Novel 3D Cavities

Ashwin Balakrishna, Ken Goldberg, Jeffrey Ichnowski, 2021, 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE).

Achieving clinically viable 12-CM readout distance from micromachined implantable intraocular pressure sensor using a standard clinical slit lamp

D. Sretavan, H. Choo, J. Lee, 2016, 2016 IEEE 29th International Conference on Micro Electro Mechanical Systems (MEMS).

Dynamics-Aware Comparison of Learned Reward Functions

Ashwin Balakrishna, Rowan McAllister, Adrien Gaidon, 2022, ICLR.

Policy Gradient Bayesian Robust Optimization for Imitation Learning pdf

Anca D. Dragan, Marek Petrik, Ashwin Balakrishna, 2021, ICML.

On-Policy Robot Imitation Learning from a Converging Supervisor

Brijen Thananjeyan, Ashwin Balakrishna, Joseph E. Gonzalez, 2019, CoRL.

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks

Brijen Thananjeyan, Ashwin Balakrishna, Ken Goldberg, 2021, CoRL.

MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance pdf

Ion Stoica, Brijen Thananjeyan, Ashwin Balakrishna, 2021, ArXiv.

Harnessing the Power of Machine Learning Algorithms for Real-Time Signal/Noise Classification

Ashwin Balakrishna, Thomas H. Heaton, Zefeng Li, 2018 .

Exploratory Grasping: Asymptotically Optimal Algorithms for Grasping Challenging Polyhedral Objects pdf

Ashwin Balakrishna, Ken Goldberg, Daniel S. Brown, 2020, CoRL.

Accelerating Grasp Exploration by Leveraging Learned Priors

Ashwin Balakrishna, Ken Goldberg, Vishal Satish, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Machine Learning Methods for Rapid, Real-Time Pressure Readout from an Optics-Based Intraocular Pressure Sensor

H. Choo, A. Balakrishna, 2020 .

Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms

Ashwin Balakrishna, Ken Goldberg, Jeffrey Ichnowski, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

Prismatic VLMs: Investigating the Design Space of Visually-Conditioned Language Models

Dorsa Sadigh, Siddharth Karamcheti, A. Balakrishna, 2024, ArXiv.