Cover Image

Learning to Transfer Human Hand Skills for Robot Manipulations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Park, Sungjae, Lee, Seungho, Choi, Mingi, Lee, Jiye, Kim, Jeonghwan, Kim, Jisoo, Joo, Hanbyul
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OmniRobotHome: A Multi-Camera Platform for Real-Time Multiadic Human-Robot Interaction
by: Lee, Junyoung, et al.
Published: (2026)

HRDexDB: A Large-Scale Dataset of Dexterous Human and Robotic Hand Grasps
by: Lim, Jongbin, et al.
Published: (2026)

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
by: Li, Lanpei, et al.
Published: (2024)

Learning Human-Like Badminton Skills for Humanoid Robots
by: Chen, Yeke, et al.
Published: (2026)

GraspCorrect: Robotic Grasp Correction via Vision-Language Model-Guided Feedback
by: Lee, Sungjae, et al.
Published: (2025)

Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection
by: Kim, HyunGi, et al.
Published: (2025)

Attention-Based Neural-Augmented Kalman Filter for Legged Robot State Estimation
by: Lee, Seokju, et al.
Published: (2026)

Robot Policy Transfer with Online Demonstrations: An Active Reinforcement Learning Approach
by: Hou, Muhan, et al.
Published: (2025)

Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm
by: Kim, Hyeonjun, et al.
Published: (2025)

Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
by: Jansonnie, Paul, et al.
Published: (2024)

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)

DIAR: Diffusion-model-guided Implicit Q-learning with Adaptive Revaluation
by: Park, Jaehyun, et al.
Published: (2024)

Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion
by: Kim, Yunho, et al.
Published: (2023)

Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
by: Choi, Jinwoo, et al.
Published: (2025)

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)

From Simple to Complex Skills: The Case of In-Hand Object Reorientation
by: Qi, Haozhi, et al.
Published: (2025)

Benchmarking Reinforcement Learning Methods for Dexterous Robotic Manipulation with a Three-Fingered Gripper
by: Cutler, Elizabeth, et al.
Published: (2024)

PhyPlan: Generalizable and Rapid Physical Task Planning with Physics Informed Skill Networks for Robot Manipulators
by: Chopra, Mudit, et al.
Published: (2024)

Learning-augmented robotic automation for real-world manufacturing
by: Kim, Yunho, et al.
Published: (2026)

Autoregressive Action Sequence Learning for Robotic Manipulation
by: Zhang, Xinyu, et al.
Published: (2024)

Preemptive Motion Planning for Human-to-Robot Indirect Placement Handovers
by: Choi, Andrew, et al.
Published: (2022)

Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation
by: Kagaya, Tomoyuki, et al.
Published: (2025)

ProgVLA: Progress-Aware Robot Manipulation Skill Learning
by: Kim, Seungsu, et al.
Published: (2026)

RLDX-1 Technical Report
by: Kim, Dongyoung, et al.
Published: (2026)

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
by: Ren, Juntao, et al.
Published: (2025)

NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
by: Kim, Donghyun, et al.
Published: (2024)

Robotic Manipulation Datasets for Offline Compositional Reinforcement Learning
by: Hussing, Marcel, et al.
Published: (2023)

WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
by: Kim, Mintae, et al.
Published: (2026)

Subspace-based Approximate Hessian Method for Zeroth-Order Optimization
by: Kim, Dongyoon, et al.
Published: (2025)

Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
by: Ada, Suzan Ece, et al.
Published: (2024)

Flow-based Domain Randomization for Learning and Sequencing Robotic Skills
by: Curtis, Aidan, et al.
Published: (2025)

Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertainty
by: Brown, Hunter L., et al.
Published: (2026)

Toward Accurate Long-Horizon Robotic Manipulation: Language-to-Action with Foundation Models via Scene Graphs
by: Dinesh, Sushil Samuel, et al.
Published: (2025)

Belief Aided Navigation using Bayesian Reinforcement Learning for Avoiding Humans in Blind Spots
by: Kim, Jinyeob, et al.
Published: (2024)

Online Continual Learning For Interactive Instruction Following Agents
by: Kim, Byeonghwi, et al.
Published: (2024)

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
by: Ye, Jianglong, et al.
Published: (2025)

Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
by: Haarnoja, Tuomas, et al.
Published: (2023)

Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations
by: Guzey, Irmak, et al.
Published: (2025)