Animesh Garg
収録論文 91本 ・ フィジカルAI/ロボット学習
※arXiv著者名で収集。同姓同名の別人の論文が含まれる場合があります。
論文
- FORGE: Towards Functional Tool-Use Generalization via Keypoint Trajectory Reasoning2026/7/1
- Dynamic Execution Horizon Prediction for Chunk-based Robot Policies2026/6/1
- Hierarchical Policy Learning via Spectral Decomposition2026/6/1
- COBALT: Crowdsourcing Robot Learning via Cloud-Based Teleoperation with Smartphones2026/5/1
- SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation2026/3/1
- MATTERIX: toward a digital twin for robotics-assisted chemistry laboratory automation2026/1/1
- ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning2025/12/1
- Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning2025/11/1
- TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies2025/9/1
- OG-VLA: Orthographic Image Generation for 3D-Aware Vision-Language Action Model2025/6/1
- AMPLIFY: Actionless Motion Priors for Robot Learning from Videos2025/6/1
- SuFIA-BC: Generating High Quality Demonstration Data for Visuomotor Policy Learning in Surgical Subtasks2025/4/1
- Adapt3R: Adaptive 3D Scene Representation for Domain Transfer in Imitation Learning2025/3/1
- Scaling Laws in Scientific Discovery with AI and Robot Scientists2025/3/1
- AnyPlace: Learning Generalized Object Placement for Robot Manipulation2025/2/1
- Accelerating Discovery in Natural Science Laboratories with AI and Robotics: Perspectives and Challenges from the 2024 IEEE ICRA Workshop, Yokohama, Japan2025/1/1
- DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation2024/11/1
- RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations2024/11/1
- Discovering Robotic Interaction Modes with Discrete Representation Learning2024/10/1
- SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon Manipulation2024/10/1
- CLIMB: Language-Guided Continual Learning for Task Planning with Iterative Model Building2024/10/1
- QueST: Self-Supervised Skill Abstractions for Learning Continuous Control2024/7/1
- PWM: Policy Learning with Multi-Task World Models2024/7/1
- Composable Part-Based Manipulation2024/5/1
- SuFIA: Language-Guided Augmented Dexterity for Robotic Surgical Assistants2024/5/1
- AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent2024/4/1
- ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity2024/4/1
- Fast Explicit-Input Assistance for Teleoperation in Clutter2024/2/1
- RePLan: Robotic Replanning with Perception and Language Models2024/1/1
- ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization2024/1/1
- Geometry Matching for Multi-Embodiment Grasping2023/12/1
- HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors2023/11/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation2023/6/1
- Self-Supervised Learning of Action Affordances as Interaction Modes2023/5/1
- Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting2023/3/1
- MVTrans: Multi-View Perception of Transparent Objects2023/2/1
- Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments2023/1/1
- Chemistry Lab Automation via Constrained Task and Motion Planning2022/12/1
- NeurIPS 2022 Competition: Driving SMARTS2022/11/1
- nerf2nerf: Pairwise Registration of Neural Radiance Fields2022/11/1
- See, Plan, Predict: Language-guided Cognitive Planning with Video Prediction2022/10/1
- MoCoDA: Model-based Counterfactual Data Augmentation2022/10/1
- Breaking Bad: A Dataset for Geometric Fracture and Reassembly2022/10/1
- ProgPrompt: Generating Situated Robot Task Plans using Large Language Models2022/9/1
- Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands2022/8/1
- Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions2022/6/1
- Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors2022/5/1
- Accelerated Policy Learning with Parallel Differentiable Simulation2022/4/1
- DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting2022/3/1
- Continuous-Time Fitted Value Iteration for Robust Policies2021/10/1
- Seeing Glass: Joint Point Cloud and Depth Completion for Transparent Objects2021/10/1
- PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks2021/9/1
- Real Robot Challenge: A Robotics Competition in the Cloud2021/9/1
- Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger2021/8/1
- Learning Latent Actions to Control Assistive Robots2021/7/1
- A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution2021/7/1
- GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels2021/6/1
- Robust Value Iteration for Continuous Control Tasks2021/5/1
- Value Iteration in Continuous Actions, States and Time2021/5/1
- DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting2021/5/1
- GLiDE: Generalizable Quadrupedal Locomotion in Diverse Environments with a Centroidal Model2021/4/1
- LASER: Learning a Latent Action Space for Efficient Reinforcement Learning2021/3/1
- Articulated Object Interaction in Unknown Scenes with Whole-Body Mobile Manipulation2021/3/1
- Learning by Watching: Physical Imitation of Manipulation Skills from Human Videos2021/1/1
- Emergent Hand Morphology and Control from Optimizing Robust Grasps of Diverse Objects2020/12/1
- Latent Skill Planning for Exploration and Transfer2020/11/1
- Dynamics Randomization Revisited:A Case Study for Quadrupedal Locomotion2020/11/1
- Solving Physics Puzzles by Reasoning about Paths2020/11/1
- Conservative Safety Critics for Exploration2020/10/1
- Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion2020/9/1
- Visuomotor Mechanical Search: Learning to Retrieve Target Objects in Clutter2020/8/1
- Counterfactual Data Augmentation using Locally Factored Dynamics2020/7/1
- LEAF: Latent Exploration Along the Frontier2020/5/1
- Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning2020/5/1
- IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data2019/11/1
- Motion Reasoning for Goal-Based Imitation Learning2019/11/1
- Scaling Robot Supervision to Hundreds of Hours with RoboTurk: Robotic Manipulation Dataset through Human Reasoning and Dexterity2019/11/1
- Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation2019/10/1
- Controlling Assistive Robots with Learned Latent Actions2019/9/1
- Continuous Relaxation of Symbolic Planner for One-Shot Imitation Learning2019/8/1
- Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks2019/7/1
- Variable Impedance Control in End-Effector Space: An Action Space for Reinforcement Learning in Contact-Rich Tasks2019/6/1
- Mechanical Search: Multi-Step Retrieval of a Target Object Occluded by Clutter2019/3/1
- RoboTurk: A Crowdsourcing Platform for Robotic Skill Learning through Imitation2018/11/1
- Making Sense of Vision and Touch: Self-Supervised Learning of Multimodal Representations for Contact-Rich Tasks2018/10/1
- Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration2018/7/1
- Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision2018/6/1
- Neural Task Programming: Learning to Generalize Across Hierarchical Tasks2017/10/1
- ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems2017/7/1
- HIRL: Hierarchical Inverse Reinforcement Learning for Long-Horizon Tasks with Delayed Rewards2016/4/1