Ronzhin / Gribova / Meshcheryakov Interactive Collaborative Robotics

11th International Conference, ICR 2026, Vladivostok, Russia, August 17–20, 2026, Proceedings, Part I
Erscheinungsjahr 2026
ISBN: 978-3-032-34387-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 480 Seiten

Reihe: Springer Nature Proceedings Computer Science

The LNAI 2-volume set constitutes the refereed proceedings of the 11th International Conference on Interactive Collaborative Robotics, ICR 2026, held in Vladivostok, Russia, during August 2026.

The 66 full papers presented in these two volumes were carefully reviewed and selected from 124 submissions.

The papers are organized in the following topical sections:

Part I: Human-Robot Interaction; Manipulator ?ontrol; Robot Control; Robot Navigation;

Part II: Ground Robotics; Water Robotics; Unmanned Aerial Vehicles.

Zielgruppe

Research

Autoren/Hrsg.

Ronzhin, Andrey

Gribova, Valeria

Meshcheryakov, Roman

Inhaltsverzeichnis

.- Human-Robot Interaction
.- Lightweight Multi-Task Emotion Recognition for Human-Robot Interaction.
.- A Cloud-Edge Collaborative Framework for Personnel Identification via Wearable Smart Glasses.
.- Development of a Method and Algorithm for Determining the Reaction Forces of the Joints of the Patient's Lower Extremities.
.- Modeling the Dynamics of a Collaborative Parallel Kinematic Robot with Elastic Actuators for Automated Periorbital Massage.
.- HELP: Hierarchical Embodied Language Planner for Household Tasks.
.- An Efficient Camera-LiDAR-Based 3D Human Detection and Tracking Algorithm for Socially Aware Mobile Robot Navigation Systems.
.- Safe Use of Artificial Intelligence and Robotics: Issues of Legal Terminology.
.- Manipulator ?ontrol
.- Target Designation Method Using Underwater Video Camera Calibrated with Multi-link Manipulator.
.- Method for Identifying Elastostatic Parameters of a Multi-link Manipulator using a Three-axis Accelerometer.
.- Development of an Algorithm for Solving the Inverse Dynamics Problem for Underwater Manipulators.
.- Graphs of Convex Sets for Lifelong Manipulation Motion Planning.
.- Monocular Depth-Based Object Localization for Collaborative Robotic Grasping.
.- Positioning System for Autonomous Underwater Vehicles Equipped with Multilink Manipulators Near Work Objects.
.- Autonomous Control of a Medical Stand for Urological Surgeries.
.- Robot Control
.- Method of Adaptive Control of Pure Feedback Plants Based on the Actor-Critic Framework.
.- Velocity Observer Design via Reducing to Linear Regression for the Euler-Lagrange Systems Class.
.- An Adaptive State Observer for a Class of Time-variant Bilinear Systems under Condition of Partial Parametric Uncertainty.
.- Stabilization System Quality in Synthesized Optimal Control.
.- Synthesis of Robust Controller based on Stability Criterion of Forced Oscillations.
.- Synthesis of Control of the Movement of Measurement Points of the State and Power of Heat Sources at the Ends of the Rod.
.- Feedback Control of a Discrete System with Memory within the Class of Zonal Control Actions.
.- Robot Navigation
.- Empirical Evaluation of Priority-Based Planners for Multi-Agent Path Finding with Elevators.
.- CGAN Model for Building Layout Plans Generation.
.- Mitigating Tracking Failures in Sparse-View Gaussian SLAM via Feature-Guided Initialization.
.- Informed Reinforcement Learning for Mobile Robot Planning and Control Tasks based on the D*-Lite Algorithm.
.- Real-Time Stereo-Vision Semantic Navigation for Apple Orchards Using YOLOv5.
.- Differentiable LQR as a Structured Policy Output Layer for Mapless Goal-Reaching Navigation of a Mobile Robot.
.- An Efficient Navigation System for Autonomous Mobile Robots on Rough Terrain Environments.
.- Path Planning with Motion Primitives in Dynamic Environments: SIPP on Lattices.
.- Robust and Effective Semantic-aided Point Cloud Matching for Mobile Robot Navigation.
.- Adaptive Navigation Method for a Robotic System with Discrete Mode Switching Based on Environmental Un-certainty Assessment.
.- Adaptive Nonlinear Hierarchical Control Based on RBF Neural Networks for Line-Following and Obstacle-Avoiding Mobile Robots under Dynamic Model Uncertainties.
.- Hybrid Forest Mapping for Robotic Navigation under GNSS Uncertainty.