Copertina

A Human-Sensitive Controller: Adapting to Human Ergonomics and Physical Constraints via Reinforcement Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Martins, Vitor, Cerqueira, Sara M., Balcells, Mercedes, Edelman, Elazer R, Santos, Cristina P.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Robotics Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Physical Human-Robot Interaction: A Critical Review of Safety Constraints
di: Zanella, Riccardo, et al.
Pubblicazione: (2026)

Control of Microrobots with Reinforcement Learning under On-Device Compute Constraints
di: Liu, Yichen, et al.
Pubblicazione: (2025)

Reinforcement Learning-Based Neuroadaptive Control of Robotic Manipulators under Deferred Constraints
di: Nohooji, Hamed Rahimi, et al.
Pubblicazione: (2025)

Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions
di: Wang, Chenggang, et al.
Pubblicazione: (2025)

TATIC: Task-Aware Temporal Learning for Human Intent Inference from Physical Corrections in Human-Robot Collaboration
di: Song, Jiurun, et al.
Pubblicazione: (2026)

OPENJ: A Conceptual Framework for Open-Source Digital Human Modeling and Ergonomic Assessment in a CAD Environment
di: Bank, Sinan, et al.
Pubblicazione: (2026)

Demonstrating a Control Framework for Physical Human-Robot Interaction Toward Industrial Applications
di: Muraccioli, Bastien, et al.
Pubblicazione: (2025)

Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction
di: Haninger, Kevin, et al.
Pubblicazione: (2021)

Planning Human-Robot Co-manipulation with Human Motor Control Objectives and Multi-component Reaching Strategies
di: Haninger, Kevin, et al.
Pubblicazione: (2024)

Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
di: Dawood, Murad, et al.
Pubblicazione: (2025)

Safe Physical Human-Robot Interaction through Variable Impedance Control based on ISO/TS 15066
di: Ghanbarzadeh, Armin, et al.
Pubblicazione: (2023)

A Minimum-Energy Control Approach for Redundant Mobile Manipulators in Physical Human-Robot Interaction Applications
di: Tebaldi, Davide, et al.
Pubblicazione: (2026)

Resolving Conflicting Constraints in Multi-Agent Reinforcement Learning with Layered Safety
di: Choi, Jason J., et al.
Pubblicazione: (2025)

Adapting Gait Frequency for Posture-regulating Humanoid Push-recovery via Hierarchical Model Predictive Control
di: Li, Junheng, et al.
Pubblicazione: (2024)

A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
di: Janwani, Neil C., et al.
Pubblicazione: (2023)

How to Adapt Control Barrier Functions? A Learning-Based Approach with Applications to a VTOL Quadplane
di: Kim, Taekyung, et al.
Pubblicazione: (2025)

A General Control Method for Human-Robot Integration
di: Feder, Maddalena, et al.
Pubblicazione: (2024)

Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback
di: DiPirro, Rachel, et al.
Pubblicazione: (2025)

Reinforcement Learning for Gliding Projectile Guidance and Control
di: Cahn, Joel, et al.
Pubblicazione: (2025)

Reinforcement Learning Based Prediction of PID Controller Gains for Quadrotor UAVs
di: Sönmez, Serhat, et al.
Pubblicazione: (2025)

Safe Human-to-Humanoid Motion Imitation Using Control Barrier Functions
di: Cai, Wenqi, et al.
Pubblicazione: (2026)

Real-Time Interactions Between Human Controllers and Remote Devices in Metaverse
di: Chen, Kan, et al.
Pubblicazione: (2024)

Receding-Constraint Model Predictive Control using a Learned Approximate Control-Invariant Set
di: Lunardi, Gianni, et al.
Pubblicazione: (2023)

Reinforcement Learning Controllers for Soft Robots using Learned Environments
di: Berdica, Uljad, et al.
Pubblicazione: (2024)

Human Behavior Modeling via Identification of Task Objective and Variability
di: Byeon, Sooyung, et al.
Pubblicazione: (2024)

Synthesis and Deployment of Maximal Robust Control Barrier Functions through Adversarial Reinforcement Learning
di: Oh, Donggeon David, et al.
Pubblicazione: (2026)

SDP Synthesis of Maximum Coverage Trees for Probabilistic Planning under Control Constraints
di: Aggarwal, Naman, et al.
Pubblicazione: (2024)

Reinforcement Learning for Elliptical Cylinder Motion Control Tasks
di: Marczewski, Pawel, et al.
Pubblicazione: (2026)

Stability of Control Lyapunov Function Guided Reinforcement Learning
di: Olkin, Zachary, et al.
Pubblicazione: (2026)

Stealthy Coverage Control for Human-enabled Real-Time 3D Reconstruction
di: Terunuma, Reiji, et al.
Pubblicazione: (2026)

Distributed Virtual Model Control for Scalable Human-Robot Collaboration in Shared Workspace
di: Zhang, Yi, et al.
Pubblicazione: (2026)

Reward-Augmented Reinforcement Learning for Continuous Control in Precision Autonomous Parking via Policy Optimization Methods
di: Suleman, Ahmad, et al.
Pubblicazione: (2025)

Safety-Critical Adaptive Impedance Control via Nonsmooth Control Barrier Functions under State and Input Constraints
di: Lawan, Faisal, et al.
Pubblicazione: (2026)

Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching
di: Lin, Xiaoshan, et al.
Pubblicazione: (2024)

Risk-Sensitive Orbital Debris Collision Avoidance using Distributionally Robust Chance Constraints
di: Ryu, Kanghyun, et al.
Pubblicazione: (2024)

Trust Modeling and Estimation in Human-Autonomy Interactions
di: Williams, Daniel A., et al.
Pubblicazione: (2025)

Stable and Safe Human-aligned Reinforcement Learning through Neural Ordinary Differential Equations
di: Zhao, Liqun, et al.
Pubblicazione: (2024)

A Human-In-The-Loop Simulation Framework for Evaluating Control Strategies in Gait Assistive Robots
di: Wang, Yifan, et al.
Pubblicazione: (2025)

Fault Tolerant Control of a Quadcopter using Reinforcement Learning
di: Habib, Muzaffar, et al.
Pubblicazione: (2025)

Leveraging Systems and Control Theory for Social Robotics: A Model-Based Behavioral Control Approach to Human-Robot Interaction
di: Patrício, Maria Morão, et al.
Pubblicazione: (2025)