Image de couverture de livre

Learning Gentle Grasping from Human-Free Force Control Demonstration

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Li, Mingxuan, Zhang, Lunwei, Li, Tiemin, Jiang, Yao
Format:	Preprint
Publié:	2024
Sujets:	Robotics Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

EasyCalib: Simple and Low-Cost In-Situ Calibration for Force Reconstruction with Vision-Based Tactile Sensors
par: Li, Mingxuan, et autres
Publié: (2024)

An Adaptive Grasping Force Tracking Strategy for Nonlinear and Time-Varying Object Behaviors
par: Cheng, Ziyang, et autres
Publié: (2024)

Modeling, Simulation, and Application of Spatio-Temporal Characteristics Detection in Incipient Slip
par: Li, Mingxuan, et autres
Publié: (2025)

Enhancing Regrasping Efficiency Using Prior Grasping Perceptions with Soft Fingertips
par: Huang, Qiyin, et autres
Publié: (2025)

Learning Gentle Grasping Using Vision, Sound, and Touch
par: Nakahara, Ken, et autres
Publié: (2025)

Flow with the Force Field: Learning 3D Compliant Flow Matching Policies from Force and Demonstration-Guided Simulation Data
par: Li, Tianyu, et autres
Publié: (2025)

Learning Adaptive Dexterous Grasping from Single Demonstrations
par: Shi, Liangzhi, et autres
Publié: (2025)

Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
par: Jiang, Ke, et autres
Publié: (2025)

Learning Continuous Grasping Function with a Dexterous Hand from Human Demonstrations
par: Ye, Jianglong, et autres
Publié: (2022)

Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control
par: Arbaud, Robin, et autres
Publié: (2025)

Incipient Slip-Based Rotation Measurement via Visuotactile Sensing During In-Hand Object Pivoting
par: Li, Mingxuan, et autres
Publié: (2023)

Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
par: Chan, Bryan, et autres
Publié: (2024)

Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
par: Zhou, Bohan, et autres
Publié: (2024)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
par: Li, Mingxuan, et autres
Publié: (2026)

RHINO: Learning Real-Time Humanoid-Human-Object Interaction from Human Demonstrations
par: Chen, Jingxiao, et autres
Publié: (2025)

Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations
par: Fang, Shijie, et autres
Publié: (2025)

COMBO-Grasp: Learning Constraint-Based Manipulation for Bimanual Occluded Grasping
par: Yamada, Jun, et autres
Publié: (2025)

Demonstration-Free Robotic Control via LLM Agents
par: Tsui, Brian Y., et autres
Publié: (2026)

Learning Visual Quadrupedal Loco-Manipulation from Demonstrations
par: He, Zhengmao, et autres
Publié: (2024)

Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects
par: Scheikl, Paul Maria, et autres
Publié: (2023)

MTF-Grasp: A Multi-tier Federated Learning Approach for Robotic Grasping
par: Zaland, Obaidullah, et autres
Publié: (2025)

OmniDexVLG: Learning Dexterous Grasp Generation from Vision Language Model-Guided Grasp Semantics, Taxonomy and Functional Affordance
par: Zhang, Lei, et autres
Publié: (2025)

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
par: Tang, Runze, et autres
Publié: (2026)

DexCanvas: Bridging Human Demonstrations and Robot Learning for Dexterous Manipulation
par: Xu, Xinyue, et autres
Publié: (2025)

Robotic Paper Wrapping by Learning Force Control
par: Hanai, Hiroki, et autres
Publié: (2025)

Confounding Robust Continuous Control via Automatic Reward Shaping
par: Juliani, Mateo, et autres
Publié: (2026)

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
par: Li, Xinhu, et autres
Publié: (2025)

IFG: Internet-Scale Guidance for Functional Grasping Generation
par: Liu, Ray Muxin, et autres
Publié: (2025)

Learning Parameterized Skills from Demonstrations
par: Gupta, Vedant, et autres
Publié: (2025)

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
par: Li, Haozhuo, et autres
Publié: (2025)

Corner-Grasp: Multi-Action Grasp Detection and Active Gripper Adaptation for Grasping in Cluttered Environments
par: Son, Yeong Gwang, et autres
Publié: (2025)

Cross-Embodiment Dexterous Grasping with Reinforcement Learning
par: Yuan, Haoqi, et autres
Publié: (2024)

Synchronized Online Friction Estimation and Adaptive Grasp Control for Robust Gentle Grasp
par: Niu, Zhenwei, et autres
Publié: (2026)

Learning to Drive in New Cities Without Human Demonstrations
par: Wang, Zilin, et autres
Publié: (2026)

Learning Dolly-In Filming From Demonstration Using a Ground-Based Robot
par: Lorimer, Philip, et autres
Publié: (2025)

Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3
par: Carvalho, Joao, et autres
Publié: (2024)

Self-Supervised Learning of Grasping Arbitrary Objects On-the-Move
par: Kiyokawa, Takuya, et autres
Publié: (2024)

Enhancing Adaptivity of Two-Fingered Object Reorientation Using Tactile-based Online Optimization of Deconstructed Actions
par: Huang, Qiyin, et autres
Publié: (2025)

SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models
par: Li, Pengcheng, et autres
Publié: (2025)

ForceGrip: Reference-Free Curriculum Learning for Realistic Grip Force Control in VR Hand Manipulation
par: Han, DongHeun, et autres
Publié: (2025)