Viktor Makoviychuk

収録論文 14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

• Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning
  2025/11/1
• DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics
  2024/7/1
• Geometric Fabrics: a Safe Guiding Medium for Policy Learning
  2024/5/1
• DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training
  2023/5/1
• DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality
  2022/10/1
• EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine
  2022/6/1
• Accelerated Policy Learning with Parallel Differentiable Simulation
  2022/4/1
• OSCAR: Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation
  2021/10/1
• Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger
  2021/8/1
• Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning
  2021/8/1
• In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation
  2020/2/1
• Non-Smooth Newton Methods for Deformable Multi-Body Dynamics
  2019/7/1
• Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience
  2018/10/1
• GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning
  2018/10/1