Animesh Garg

Orcid: 0000-0003-0482-4296

According to our database1, Animesh Garg authored at least 155 papers between 2012 and 2024.

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Bibliography

2024
Monotonic Quantile Network for Worst-Case Offline Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Discovering Robotic Interaction Modes with Discrete Representation Learning.
CoRR, 2024

SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation.
CoRR, 2024

CLIMB: Language-Guided Continual Learning for Task Planning with Iterative Model Building.
CoRR, 2024

QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.
CoRR, 2024

PWM: Policy Learning with Large World Models.
CoRR, 2024

SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants.
CoRR, 2024

AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent.
CoRR, 2024

Multi-Constraint Safe RL with Objective Suppression for Safety-Critical Applications.
CoRR, 2024

Fast Explicit-Input Assistance for Teleoperation in Clutter.
CoRR, 2024

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization.
CoRR, 2024

RePLan: Robotic Replanning with Perception and Language Models.
CoRR, 2024

HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Orbit-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Large language models for chemistry robotics.
Auton. Robots, December, 2023

ProgPrompt: program generation for situated robot task planning using large language models.
Auton. Robots, December, 2023

Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments.
IEEE Robotics Autom. Lett., June, 2023

DiSECt: a differentiable simulator for parameter inference and control in robotic cutting.
Auton. Robots, June, 2023

Continuous-Time Fitted Value Iteration for Robust Policies.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Benchmarks for Physical Reasoning AI.
Trans. Mach. Learn. Res., 2023

Robot-Assisted Vascular Shunt Insertion with the dVRK Surgical Robot.
J. Medical Robotics Res., 2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.
CoRR, 2023

StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos.
CoRR, 2023

Δ-Networks for Efficient Model Patching.
CoRR, 2023

Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting.
CoRR, 2023

ORBIT: A Unified Simulation Framework for Interactive Robot Learning Environments.
CoRR, 2023

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MVTrans: Multi-View Perception of Transparent Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Self-Supervised Learning of Action Affordances as Interaction Modes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

nerf2nerf: Pairwise Registration of Neural Radiance Fields.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Composable Part-Based Manipulation.
Proceedings of the Conference on Robot Learning, 2023

Geometry Matching for Multi-Embodiment Grasping.
Proceedings of the Conference on Robot Learning, 2023

2022
PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks.
IEEE Robotics Autom. Lett., 2022

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Offline Policy Optimization in RL with Variance Regularizaton.
CoRR, 2022

An Adaptive Robotics Framework for Chemistry Lab Automation.
CoRR, 2022

NeurIPS 2022 Competition: Driving SMARTS.
CoRR, 2022

See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction.
CoRR, 2022

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions.
CoRR, 2022

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval.
CoRR, 2022

Learning latent actions to control assistive robots.
Auton. Robots, 2022

GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model.
Proceedings of the Algorithmic Foundations of Robotics XV, 2022

SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Breaking Bad: A Dataset for Geometric Fracture and Reassembly.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MoCoDA: Model-based Counterfactual Data Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Experience Replay with Likelihood-free Importance Weights.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Koopman Q-learning: Offline Reinforcement Learning via Symmetries of Dynamics.
Proceedings of the International Conference on Machine Learning, 2022

Value Gradient weighted Model-Based Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Accelerated Policy Learning with Parallel Differentiable Simulation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Grasp'D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands.
Proceedings of the Computer Vision - ECCV 2022, 2022

Modular Action Concept Grounding in Semantic Video Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Uniform Priors for Data-Efficient Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments.
Proceedings of the Conference on Robot Learning, 2022

Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.
Proceedings of the Conference on Robot Learning, 2022

Centralized Model and Exploration Policy for Multi-Agent RL.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Convergence and Optimality of Policy Gradient Methods in Weakly Smooth Settings.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Reinforcement Learning in Factored Action Spaces using Tensor Decompositions.
CoRR, 2021

Auditing AI models for Verified Deployment under Semantic Specifications.
CoRR, 2021

A Robot Cluster for Reproducible Research in Dexterous Manipulation.
CoRR, 2021

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning.
CoRR, 2021

GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Robust Value Iteration for Continuous Control Tasks.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Neural Hybrid Automata: Learning Dynamics With Multiple Modes and Stochastic Transitions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


Dynamic Bottleneck for Robust Self-Supervised Exploration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Dynamics Randomization Revisited: A Case Study for Quadrupedal Locomotion.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LEAF: Latent Exploration Along the Frontier.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

LASER: Learning a Latent Action Space for Efficient Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Value Iteration in Continuous Actions, States and Time.
Proceedings of the 38th International Conference on Machine Learning, 2021

Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition.
Proceedings of the 38th International Conference on Machine Learning, 2021

Principled Exploration via Optimistic Bootstrapping and Backward Induction.
Proceedings of the 38th International Conference on Machine Learning, 2021

Latent Skill Planning for Exploration and Transfer.
Proceedings of the 9th International Conference on Learning Representations, 2021

C-Learning: Horizon-Aware Cumulative Accessibility Estimation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Conservative Safety Critics for Exploration.
Proceedings of the 9th International Conference on Learning Representations, 2021

Seeing Glass: Joint Point-Cloud and Depth Completion for Transparent Objects.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

S4RL: Surprisingly Simple Self-Supervision for Offline Reinforcement Learning in Robotics.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

DIBS: Diversity Inducing Information Bottleneck in Model Ensembles.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks.
IEEE Trans. Robotics, 2020

A Programmable Approach to Neural Network Compression.
IEEE Micro, 2020

Learning task-oriented grasping for tool manipulation from simulated self-supervision.
Int. J. Robotics Res., 2020

Skill Transfer via Partially Amortized Hierarchical Planning.
CoRR, 2020

Action Concept Grounding Network for Semantically-Consistent Video Generation.
CoRR, 2020

Solving Physics Puzzles by Reasoning about Paths.
CoRR, 2020

D2RL: Deep Dense Architectures in Reinforcement Learning.
CoRR, 2020

Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors.
CoRR, 2020

De-anonymization of authors through arXiv submissions during double-blind review.
CoRR, 2020

Maximum Entropy Models for Fast Adaptation.
CoRR, 2020

Dynamics-Aware Latent Space Reachability for Exploration in Temporally-Extended Tasks.
CoRR, 2020

Curriculum By Texture.
CoRR, 2020

OCEAN: Online Task Inference for Compositional Tasks with Context Adaptation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Curriculum By Smoothing.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Counterfactual Data Augmentation using Locally Factored Dynamics.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Causal Discovery in Physical Systems from Videos.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Controlling Assistive Robots with Learned Latent Actions.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Motion Reasoning for Goal-Based Imitation Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Semi-Supervised StyleGAN for Disentanglement Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Angular Visual Hardness.
Proceedings of the 37th International Conference on Machine Learning, 2020

Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
SWIRL: A sequential windowed inverse reinforcement learning algorithm for robot tasks with delayed rewards.
Int. J. Robotics Res., 2019

InfoCNF: An Efficient Conditional Continuous Normalizing Flow with Adaptive Solvers.
CoRR, 2019

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
CoRR, 2019

A Programmable Approach to Model Compression.
CoRR, 2019

Video Interpolation and Prediction with Unsupervised Landmarks.
CoRR, 2019

Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks.
Proceedings of the International Conference on Robotics and Automation, 2019

Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter.
Proceedings of the International Conference on Robotics and Automation, 2019

Neural Task Graphs: Generalizing to Unseen Tasks From a Single Video Demonstration.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

AC-Teach: A Bayesian Actor-Critic Method for Policy Learning with an Ensemble of Suboptimal Teachers.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Neural Task Programming: Learning to Generalize Across Hierarchical Tasks.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Finding "It": Weakly-Supervised Reference-Aware Visual Grounding in Instructional Videos.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

ROBOTURK: A Crowdsourcing Platform for Robotic Skill Learning through Imitation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Transition state clustering: Unsupervised surgical trajectory segmentation for robot learning.
Int. J. Robotics Res., 2017

Composing Meta-Policies for Autonomous Driving Using Hierarchical Deep Reinforcement Learning.
CoRR, 2017

Weakly Supervised Generative Adversarial Networks for 3D Reconstruction.
CoRR, 2017

AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Adversarially Robust Policy Learning: Active construction of physically-plausible perturbations.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Multilateral surgical pattern cutting in 2D orthotropic gauze with deep reinforcement learning policies for tensioning.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Weakly Supervised 3D Reconstruction with Adversarial Constraint.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Optimization and Design for Automation of Brachytherapy Delivery and Learning Robot-Assisted Surgical Sub-Tasks.
PhD thesis, 2016

HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards.
CoRR, 2016

SWIRL: A SequentialWindowed Inverse Reinforcement Learning Algorithm for Robot Tasks With Delayed Rewards.
Proceedings of the Algorithmic Foundations of Robotics XII, 2016

Automating multi-throw multilateral surgical suturing with a mechanical needle guide and sequential convex optimization.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

An interchangeable surgical instrument system with application to supervised automation of multilateral tumor resection.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

Tumor localization using automated palpation with Gaussian Process Adaptive Sampling.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

2015
Learning by observation for surgical subtasks: Multilateral cutting of 3D viscoelastic and 2D Orthotropic Tissue Phantoms.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A single-use haptic palpation probe for locating subcutaneous blood vessels in robot-assisted minimally invasive surgery.
Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015

2014
Exact reachability analysis for planning skew-line needle arrangements for automated brachytherapy.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014

2013
Robot-Guided Open-Loop Insertion of Skew-Line Needle Arrangements for High Dose Rate Brachytherapy.
IEEE Trans Autom. Sci. Eng., 2013

An algorithm for computing customized 3D printed implants with curvature constrained channels for enhancing intracavitary brachytherapy radiation delivery.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013

2012
Initial experiments toward automated robotic implantation of skew-line needle arrangements for HDR brachytherapy.
Proceedings of the 2012 IEEE International Conference on Automation Science and Engineering, 2012


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