PACT: Posture-Aligned Co-Design Technique for Hand Configuration and Retargeting in Multi-Finger Imitation Learning
cs.RO
Submitted: 2026-10-13
Updated: 2026-10-13
Comments: 9 pages, 6 figures, 2 tables. Submitted to IEEE ICRA 2027. Project page: https://pact-hand-2027.github.io
Project page: https://pact-hand-2027.github.io
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Generating Robot Hands from Human Demonstrations
- MIDAS Hand: Modular low-Impedance Direct-drive Anthropomorphic Sensing Hand
- Transformer Transformer: A Unified Model for Motion-Conditioned Robot Co-design
- Learning to Design Soft Hands using Reward Models
- Function-based Parametric Co-Design Optimization of Dexterous Hands
- From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
- House of Dextra: Cross-embodied Co-design for Dexterous Hands
- Dexterous Teleoperation of 20-DoF ByteDexter Hand via Human Motion Retargeting
- HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone
Related papers
- FMT x: An Efficient and Asymptotically Optimal Extension of the Fast Marching Tree for Dynamic Replanning
- MPCFormer: A physics-informed data-driven approach for explainable socially-aware autonomous driving
- RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
- ARC: A Reasoning Recipe for Robot Foundation Models
- HRDexDB: A 4D Dexterous Grasping Dataset Across Human and Multiple Robot Embodiments
- APT: Action Expert Pretraining Improves Instruction Generalization of Vision-Language-Action Policies