Josh Pinskier

収録論文 12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

• Grasp Synthesis Matching From Rigid To Soft Robot Grippers Using Conditional Flow Matching
  2026/2/1
• ReefFlex: A Generative Design Framework for Soft Robotic Grasping of Organic and Fragile objects
  2026/2/1
• SimTO: A two-stage, simulation-driven topology optimization framework for bespoke soft robotic grippers
  2026/1/1
• Soft Pneumatic Grippers: Topology optimization, 3D-printing and Experimental validation
  2025/11/1
• Programmable Telescopic Soft Pneumatic Actuators for Deployable and Shape Morphing Soft Robots
  2025/11/1
• 3D Printable Soft Liquid Metal Sensors for Delicate Manipulation Tasks
  2025/9/1
• SoGraB: A Visual Method for Soft Grasping Benchmarking and Evaluation
  2024/11/1
• DexGrip: Multi-modal Soft Gripper with Dexterous Grasping and In-hand Manipulation Capacity
  2024/11/1
• PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers
  2024/7/1
• A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization
  2024/7/1
• A Compliant Robotic Leg Based on Fibre Jamming
  2023/8/1
• Automated design of pneumatic soft grippers through design-dependent multi-material topology optimization
  2022/11/1