Human Preferences' Optimization in pHRI Collaborative Tasks-Reference-Cited by-同舟云学术

Human Preferences' Optimization in pHRI Collaborative Tasks

Published:2023-06-25 Issue: Volume: Page:
ISSN:
Container-title:2023 20th International Conference on Ubiquitous Robots (UR)
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Author:

Franceschi Paolo¹,Maccarini Marco²,Piga Dario²,Beschi Manuel¹,Roveda Loris²

Affiliation:

1. Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing of the National Research Council of Italy (CNR-STIIMA),Milano,Italy,20133

2. Istituto Dalle Molle di studi sull'Intelligenza Artificiale (IDSIA), Scuola Universitaria Professionale della Svizzera Italiana (SUPSI), Università della Svizzera italiana (USI),Lugano,Switzerland,6962

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10202211/10202162/10202313.pdf?arnumber=10202313

Reference46 articles.

1. Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration

2. Global optimization based on active preference learning with radial basis functions

3. A User-Intention Based Adaptive Manual Guidance with Force-Tracking Capabilities Applied to Walk-Through Programming for Industrial Robots

4. Physiological and subjective evaluation of a human–robot object hand-over task

5. Q-Learning-based model predictive variable impedance control for physical human-robot collaboration

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1. Simultaneously learning intentions and preferences during physical human-robot cooperation;Autonomous Robots;2024-06-04

2. Design of an Assistive Controller for Physical Human–Robot Interaction Based on Cooperative Game Theory and Human Intention Estimation;IEEE Transactions on Automation Science and Engineering;2024

3. Human–Robot Role Arbitration via Differential Game Theory;IEEE Transactions on Automation Science and Engineering;2023