Image de couverture de livre

Replication of Impedance Identification Experiments on a Reinforcement-Learning-Controlled Digital Twin of Human Elbows

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yu, Hao, Huang, Zebin, Liu, Qingbo, Carlucho, Ignacio, Erden, Mustafa Suphi
Format:	Preprint
Publié:	2024
Sujets:	Robotics Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

SpasticMyoElbow: Physical Human-Robot Interaction Simulation Framework for Modelling Elbow Spasticity
par: Yu, Hao, et autres
Publié: (2024)

An Experimental Modular Instrument With a Haptic Feedback Framework for Robotic Surgery Training
par: Shaker, Walid, et autres
Publié: (2026)

Developing a Robotic Surgery Training System for Wide Accessibility and Research
par: Shaker, Walid, et autres
Publié: (2025)

Real-Time Non-Contact Force Compensation for Wrist-Mounted Force/Torque Sensors in Haptic-Enabled Robotic Surgery Training
par: Shaker, Walid, et autres
Publié: (2026)

Controllable Latent Diffusion for Traffic Simulation
par: Xiao, Yizhuo, et autres
Publié: (2025)

Distributed AI Agents for Cognitive Underwater Robot Autonomy
par: Buchholz, Markus, et autres
Publié: (2025)

Learning Variable Impedance Skills from Demonstrations with Passivity Guarantee
par: Zhang, Yu, et autres
Publié: (2023)

An Automated Machine Learning Framework for Surgical Suturing Action Detection under Class Imbalance
par: Zhang, Baobing, et autres
Publié: (2025)

Reinforcement Learning from Implicit Neural Feedback for Human-Aligned Robot Control
par: Kim, Suzie
Publié: (2025)

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins
par: Mu, Yao, et autres
Publié: (2025)

Stonefish: Supporting Machine Learning Research in Marine Robotics
par: Grimaldi, Michele, et autres
Publié: (2025)

Cognition to Control - Multi-Agent Learning for Human-Humanoid Collaborative Transport
par: Zhang, Hao, et autres
Publié: (2026)

MarineGym: Accelerated Training for Underwater Vehicles with High-Fidelity RL Simulation
par: Chu, Shuguang, et autres
Publié: (2024)

Diffusion-based Reinforcement Learning for Dynamic UAV-assisted Vehicle Twins Migration in Vehicular Metaverses
par: Tong, Yongju, et autres
Publié: (2024)

Grounding Language Models with Semantic Digital Twins for Robotic Planning
par: Naeem, Mehreen, et autres
Publié: (2025)

Digital Twins Below the Surface: Enhancing Underwater Teleoperation
par: Adetunji, Favour O., et autres
Publié: (2024)

Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning
par: Giral, Francisco, et autres
Publié: (2024)

Lifelong Language-Conditioned Robotic Manipulation Learning
par: Wang, Xudong, et autres
Publié: (2026)

Task and Domain Adaptive Reinforcement Learning for Robot Control
par: Liu, Yu Tang, et autres
Publié: (2024)

MarineGym: A High-Performance Reinforcement Learning Platform for Underwater Robotics
par: Chu, Shuguang, et autres
Publié: (2025)

Aligning Humans and Robots via Reinforcement Learning from Implicit Human Feedback
par: Kim, Suzie, et autres
Publié: (2025)

A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics
par: Fernandez, Ivan A., et autres
Publié: (2024)

Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin
par: Abou-Chakra, Jad, et autres
Publié: (2025)

GeoVision-Enabled Digital Twin for Hybrid Autonomous-Teleoperated Medical Responses
par: Kebria, Parham, et autres
Publié: (2026)

Application of LLM Guided Reinforcement Learning in Formation Control with Collision Avoidance
par: Yao, Chenhao, et autres
Publié: (2025)

Deployable Reinforcement Learning with Variable Control Rate
par: Wang, Dong, et autres
Publié: (2024)

Multi-Timescale Hierarchical Reinforcement Learning for Unified Behavior and Control of Autonomous Driving
par: Jin, Guizhe, et autres
Publié: (2025)

Reachability Verification Based Reliability Assessment for Deep Reinforcement Learning Controlled Robotics and Autonomous Systems
par: Dong, Yi, et autres
Publié: (2022)

TwinTac: A Wide-Range, Highly Sensitive Tactile Sensor with Real-to-Sim Digital Twin Sensor Model
par: Huang, Xiyan, et autres
Publié: (2025)

RoboTwin: Dual-Arm Robot Benchmark with Generative Digital Twins (early version)
par: Mu, Yao, et autres
Publié: (2024)

PMG: Parameterized Motion Generator for Human-like Locomotion Control
par: Han, Chenxi, et autres
Publié: (2026)

HydroShear: Hydroelastic Shear Simulation for Tactile Sim-to-Real Reinforcement Learning
par: Dang, An, et autres
Publié: (2026)

Maglev-Pentabot: Magnetic Levitation System for Non-Contact Manipulation using Deep Reinforcement Learning
par: Huang, Guoming, et autres
Publié: (2025)

Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
par: Wang, Haoyu, et autres
Publié: (2024)

A Reinforcement Learning Based Controller to Minimize Forces on the Crutches of a Lower-Limb Exoskeleton
par: Utku, Aydin Emre, et autres
Publié: (2024)

A Digital Twin Framework for Metamorphic Testing of Autonomous Driving Systems Using Generative Model
par: Zhang, Tony, et autres
Publié: (2025)

Dynamics as Prompts: In-Context Learning for Sim-to-Real System Identifications
par: Zhang, Xilun, et autres
Publié: (2024)

Accelerating Reinforcement Learning via Error-Related Human Brain Signals
par: Kim, Suzie, et autres
Publié: (2025)

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning
par: Luo, Jianlan, et autres
Publié: (2024)

Reinforcement Learning Approach to Optimizing Profilometric Sensor Trajectories for Surface Inspection
par: Roos-Hoefgeest, Sara, et autres
Publié: (2024)