Daniel Rakita
収録論文 21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
- Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models2026/7/1
- Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient2026/5/26
- Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient2026/5/1
- Towards Zero-Knowledge Task Planning via a Language-based Approach2026/1/1
- Subsecond 3D Mesh Generation for Robot Manipulation2025/12/1
- APOLLO Blender: A Robotics Library for Visualization and Animation in Blender2025/12/1
- Robust and Efficient MuJoCo-based Model Predictive Control via Web of Affine Spaces Derivatives2025/12/1
- Beyond URDF: The Universal Robot Description Directory for Shared, Extensible, and Standardized Robot Models2025/12/1
- A New Software Tool for Generating and Visualizing Robot Self-Collision Matrices2025/12/1
- Hybrid Diffusion Policies with Projective Geometric Algebra for Efficient Robot Manipulation Learning2025/7/1
- PRISM-DP: Spatial Pose-based Observations for Diffusion-Policies via Segmentation, Mesh Generation, and Pose Tracking2025/4/1
- Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization2025/4/1
- ad-trait: A Fast and Flexible Automatic Differentiation Library in Rust2025/4/1
- Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training2025/2/1
- Optimizing Active Perception for Learning Simultaneous Viewpoint Selection and Manipulation with Diffusion Policy2024/9/1
- Sequential Discrete Action Selection via Blocking Conditions and Resolutions2024/9/1
- RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks2023/2/1
- MotionBenchMaker: A Tool to Generate and Benchmark Motion Planning Datasets2021/12/1
- Single-query Path Planning Using Sample-efficient Probability Informed Trees2021/6/1
- Strobe: An Acceleration Meta-algorithm for Optimizing Robot Paths using Concurrent Interleaved Sub-Epoch Pods2021/6/1
- CollisionIK: A Per-Instant Pose Optimization Method for Generating Robot Motions with Environment Collision Avoidance2021/2/1