Interactive Collaborative Robotics : 10th International Conference, ICR 2025, Hanoi, Vietnam, November 10-13, 2025, Proceedings, Part II (Lecture Notes in Artificial Intelligence)

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Interactive Collaborative Robotics : 10th International Conference, ICR 2025, Hanoi, Vietnam, November 10-13, 2025, Proceedings, Part II (Lecture Notes in Artificial Intelligence)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 428 p.
  • 言語 ENG
  • 商品コード 9783032119025

Description

The two volume set LNAI 16303 + 16304 constitutes the refereed proceedings of the 10th International Conference on Interactive Collaborative Robotics, ICR 2025, held in Hanoi, Vietnam, during November 10 13, 2025.

The 58 full papers presented in these two volumes were carefully reviewed and selected from 143 submissions.

The papers are organized in the following topical sections:

Part I: Invited Papers; Water Robotics; Unmanned Aerial Vehicles.

Part II: Human-Robot Interaction; Ground Robot Control.

.- Human-Robot Interaction.

.- EffiAtt-Emotion: A Lightweight Emotion Recognition Model for Adaptive Human-Robot Interaction in Collaborative Robotics.

.- Improving of Brain-Machine Interaction Performance by Sensory and Transcranial Magnetic Stimulation.

.- Efficient Human-Robot Interaction via Deep Perception and Flexible Motion Planning.

.- Hybrid Extended State Observer with Enhanced Sliding Mode Control for Tracking and Disturbance Rejection for Mecanum Wheeled Mobile Robots Apply in an Automotive Manufacturing.

.- Robust Control for Line-Following Robots with Model Uncertainties and Dynamic Disturbances.

.- A Fuzzy Logic Control for Tactile Antenna-Based Wall-Following in Autonomous Robots.

.- Toward Collaborative Robots: Hybrid Slider Crank with Variable-Stiffness Soft Rod.

.- Automated Control System for Magnetically Active Microrobots for Medical Applications.

.- Closed-Loop Chain Linkage-Based Hand Exoskeleton: A Lightweight and Modular Solution for Hand Rehabilitation.

.- Determination of Forces Acting in the Joints of the Lower Extremities during Rehabilitation.

.- Variational Autoencoder for Efficient Image Representation in Deep Reinforcement Learning for Mobile Robot Navigation.

.- Foot Trajectory Generation for a Quadruped Home Robot.

.- Near Field Scanning System of Home Walking Robot.

.- Methodology for Personalized Human Robot Collaboration That Accounts for Individual Characteristics of Human Biological Signals.

.- Ground Robot Control.

.- Set-Input Trees: An Interpretable Multiple Instance Learning Architecture for Robotics.

.- Methodology for Calculating the Configuration Parameters of a Modular Wheeled Mobile Robot.

.- Synthesis of Process Dynamics Control Using Current and Previously Conducted Measurements of Its State.

.- Feedback Control Approach Based on Classes of Zonal Control Actions.

.- Refined 3D Object Localization with Monocular Camera using Depth Estimation and Geometric Refinement.

.- EKF-FOGS Enhanced Observer for Autonomous Tracked Vehicle Control in Slippery Terrain.

.- Path Planning for Smooth Operations of Nonholonomic Mobile Robots Using Piecewise-Uniform Turning Maneuvers.

.- Design of Synergetic Controller based on Nonlinear State Observer for Twin Rotor MIMO System.

.- Research of Nonrecursive Federated Filtering Algorithms under Non-White Noise Measurement Errors.

.- Comparison of Methods for Covariance Estimation for Factor Graph Optimization of the Bayesian Estimation Problem.

.- Lamarckian Evolution Based Algorithm for Multi-Robot Path Planning Problem.

.- Task Allocation in Groups of Mobile Robots under Uncertainty using an Adaptive Ant Colony Algorithm.

.- Intelligent Task Allocation between Moving Objects Based on Reinforcement Learning Algorithm.

.- SI-RRT and ST-RRT* For Prioritized Multi-Manipulator Planning: Empirical Evaluation.

.- Multi-Criteria Approach to Path Planning for Unmanned Tractors Considering Energy Constraints and Soil Compaction.

.- Generation of Synthetic Images to Expand Datasets for Computer Vision Systems Used on Robotic Conveyors.

.- The Unmanned Complex of Assess Marksmanship Performance.


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