Akshara Rai
収録論文 34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
- Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations2025/11/1
- ADAPT: Actively Discovering and Adapting to Preferences for any Task2025/4/1
- RobotMover: Learning to Move Large Objects From Human Demonstrations2025/2/1
- PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks2024/11/1
- Situated Instruction Following2024/7/1
- Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots2023/10/1
- Adaptive Coordination in Social Embodied Rearrangement2023/6/1
- ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters2023/5/1
- ASC: Adaptive Skill Coordination for Robotic Mobile Manipulation2023/4/1
- Cross-Domain Transfer via Semantic Skill Imitation2022/12/1
- Transformers are Adaptable Task Planners2022/7/1
- Rethinking Sim2Real: Lower Fidelity Simulation Leads to Higher Sim2Real Transfer in Navigation2022/7/1
- Collaborative Navigation and Manipulation of a Cable-towed Load by Multiple Quadrupedal Robots2022/6/1
- Learning Torque Control for Quadrupedal Locomotion2022/3/1
- Vision-aided Dynamic Quadrupedal Locomotion on Discrete Terrain using Motion Libraries2021/10/1
- Learning Periodic Tasks from Human Demonstrations2021/9/1
- Learning-based Initialization Strategy for Safety of Multi-Vehicle Systems2021/9/1
- FastMimic: Model-based Motion Imitation for Agile, Diverse and Generalizable Quadrupedal Locomotion2021/9/1
- Efficient and Interpretable Robot Manipulation with Graph Neural Networks2021/2/1
- Leveraging Forward Model Prediction Error for Learning Control2020/11/1
- Learning Navigation Skills for Legged Robots with Learned Robot Embeddings2020/11/1
- Model-Based Inverse Reinforcement Learning from Visual Demonstrations2020/10/1
- Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion2020/8/1
- Learning State-Dependent Losses for Inverse Dynamics Learning2020/3/1
- Encoding Physical Constraints in Differentiable Newton-Euler Algorithm2020/1/1
- Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning2019/9/1
- Bayesian Optimization in Variational Latent Spaces with Dynamic Compression2019/7/1
- Curious iLQR: Resolving Uncertainty in Model-based RL2019/4/1
- Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped2018/9/1
- Using Simulation to Improve Sample-Efficiency of Bayesian Optimization for Bipedal Robots2018/5/1
- Bayesian Optimization Using Domain Knowledge on the ATRIAS Biped2017/9/1
- Deep Kernels for Optimizing Locomotion Controllers2017/7/1
- Learning Feedback Terms for Reactive Planning and Control2016/10/1
- Sample Efficient Optimization for Learning Controllers for Bipedal Locomotion2016/10/1