Vikash Kumar
収録論文 53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
- MyoChallenge 2025: A New Benchmark for Human Athletic Intelligence2026/5/1
- A Very Big Video Reasoning Suite2026/2/1
- Cascaded Diffusion Models for Neural Motion Planning2025/5/1
- Semantically Controllable Augmentations for Generalizable Robot Learning2024/9/1
- Towards Generalizable Zero-Shot Manipulation via Translating Human Interaction Plans2023/12/1
- RoboHive: A Unified Framework for Robot Learning2023/10/1
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models2023/10/1
- REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation2023/9/1
- MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation2023/9/1
- RoboAgent: Generalization and Efficiency in Robot Manipulation via Semantic Augmentations and Action Chunking2023/9/1
- Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models2023/9/1
- MyoDex: A Generalizable Prior for Dexterous Manipulation2023/9/1
- SAR: Generalization of Physiological Agility and Dexterity via Synergistic Action Representation2023/7/1
- LIV: Language-Image Representations and Rewards for Robotic Control2023/6/1
- Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware2023/4/1
- Zero-Shot Robot Manipulation from Passive Human Videos2023/2/1
- GenAug: Retargeting behaviors to unseen situations via Generative Augmentation2023/2/1
- Dexterous Manipulation from Images: Autonomous Real-World RL via Substep Guidance2022/12/1
- MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations2022/12/1
- CACTI: A Framework for Scalable Multi-Task Multi-Scene Visual Imitation Learning2022/12/1
- Cross-Domain Transfer via Semantic Skill Imitation2022/12/1
- Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes2022/11/1
- All the Feels: A dexterous hand with large-area tactile sensing2022/10/1
- VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training2022/10/1
- Real World Offline Reinforcement Learning with Realistic Data Source2022/10/1
- Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps2022/9/1
- MyoSuite -- A contact-rich simulation suite for musculoskeletal motor control2022/5/1
- Curiosity Driven Self-supervised Tactile Exploration of Unknown Objects2022/4/1
- Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?2022/4/1
- RB2: Robotic Manipulation Benchmarking with a Twist2022/3/1
- Policy Architectures for Compositional Generalization in Control2022/3/1
- R3M: A Universal Visual Representation for Robot Manipulation2022/3/1
- RRL: Resnet as representation for Reinforcement Learning2021/7/1
- Reset-Free Reinforcement Learning via Multi-Task Learning: Learning Dexterous Manipulation Behaviors without Human Intervention2021/4/1
- The Ingredients of Real-World Robotic Reinforcement Learning2020/4/1
- Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning2020/4/1
- A Game Theoretic Framework for Model Based Reinforcement Learning2020/4/1
- Benchmarking In-Hand Manipulation2020/1/1
- Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning2019/10/1
- Deep Dynamics Models for Learning Dexterous Manipulation2019/9/1
- ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots2019/9/1
- Multi-Agent Manipulation via Locomotion using Hierarchical Sim2Real2019/8/1
- Dynamics-Aware Unsupervised Discovery of Skills2019/7/1
- Learning Latent Plans from Play2019/3/1
- Soft Actor-Critic Algorithms and Applications2018/12/1
- Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost2018/10/1
- Time Reversal as Self-Supervision2018/10/1
- Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research2018/2/1
- Divide-and-Conquer Reinforcement Learning2017/11/1
- Domain Randomization and Generative Models for Robotic Grasping2017/10/1
- Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations2017/9/1
- Pneumatic Modelling for Adroit Manipulation Platform2017/3/1
- Learning Dexterous Manipulation Policies from Experience and Imitation2016/11/1