Mustafa Mukadam

収録論文 46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

• Support-Constrained RL Enables Real-World Policy Improvement without Real-World Experience
  2026/6/1
• PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation
  2026/3/1
• HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning
  2026/3/1
• TactAlign: Human-to-Robot Policy Transfer via Tactile Alignment
  2026/2/1
• Visuo-Tactile World Models
  2026/2/1
• Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
  2025/6/1
• Self-supervised perception for tactile skin covered dexterous hands
  2025/5/1
• Geometric Retargeting: A Principled, Ultrafast Neural Hand Retargeting Algorithm
  2025/3/1
• OTTER: A Vision-Language-Action Model with Text-Aware Visual Feature Extraction
  2025/3/1
• DexterityGen: Foundation Controller for Unprecedented Dexterity
  2025/2/1
• Sparsh: Self-supervised touch representations for vision-based tactile sensing
  2024/10/1
• A Touch, Vision, and Language Dataset for Multimodal Alignment
  2024/2/1
• Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
  2023/12/1
• Perceiving Extrinsic Contacts from Touch Improves Learning Insertion Policies
  2023/9/1
• Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
  2023/5/1
• Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models
  2023/4/1
• USA-Net: Unified Semantic and Affordance Representations for Robot Memory
  2023/4/1
• Neural Grasp Distance Fields for Robot Manipulation
  2022/11/1
• In-Hand Gravitational Pivoting Using Tactile Sensing
  2022/10/1
• Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing
  2022/10/1
• MidasTouch: Monte-Carlo inference over distributions across sliding touch
  2022/10/1
• TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
  2022/7/1
• Theseus: A Library for Differentiable Nonlinear Optimization
  2022/7/1
• iSDF: Real-Time Neural Signed Distance Fields for Robot Perception
  2022/4/1
• A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation
  2021/11/1
• PatchGraph: In-hand tactile tracking with learned surface normals
  2021/11/1
• LEO: Learning Energy-based Models in Factor Graph Optimization
  2021/8/1
• Habitat 2.0: Training Home Assistants to Rearrange their Habitat
  2021/6/1
• Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation
  2021/5/1
• Where2Act: From Pixels to Actions for Articulated 3D Objects
  2021/1/1
• Learning Tactile Models for Factor Graph-based Estimation
  2020/12/1
• Neural Dynamic Policies for End-to-End Sensorimotor Learning
  2020/12/1
• Batteries, camera, action! Learning a semantic control space for expressive robot cinematography
  2020/11/1
• Joint Sampling and Trajectory Optimization over Graphs for Online Motion Planning
  2020/11/1
• RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
  2020/7/1
• Encoding Physical Constraints in Differentiable Newton-Euler Algorithm
  2020/1/1
• Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping
  2019/10/1
• Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference
  2019/8/1
• Differentiable Gaussian Process Motion Planning
  2019/7/1
• Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing
  2019/3/1
• Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies
  2019/2/1
• RMPflow: A Computational Graph for Automatic Motion Policy Generation
  2018/11/1
• Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments
  2018/8/1
• STEAP: simultaneous trajectory estimation and planning
  2018/7/1
• Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference
  2017/7/1
• Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference
  2017/2/1