Intelligent Robotics and Applications : 17th International Conference, ICIRA 2024, Xi'an, China, July 31-August 2, 2024, Proceedings, Part II (Lecture Notes in Computer Science)

Lan, Xuguang (EDT)/ Mei, Xuesong (EDT)/ Jiang, Caigui (EDT)

Springer Nature Switzerland AG（2025/02発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 461 p.
• 言語 ENG
• 商品コード 9789819607730

Full Description

The 10-volume set LNAI 15201-15210 constitutes the proceedings of the 17th International Conference on Intelligent Robotics and Applications, ICIRA 2024, which took place in Xi'an, China, during July 31-August 2, 2024.

The 321 full papers included in these proceedings were carefully reviewed and selected from 489 submissions.

They were organized in topical sections as follows:

Part I: Innovative Design and Performance Evaluation of Robot Mechanisms.

Part II: Robot Perception and Machine Learning; Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems.

Part III: Emerging Techniques for Intelligent Robots in Unstructured Environment; Soft Actuators and Sensors; and Advanced Intelligent and Flexible Sensor Technologies for Robotics.

Part IV: Optimization and Intelligent Control of Underactuated Robotic Systems; and Technology and application of modular robots.

Part V: Advanced actuation and intelligent control in medical robotics: Advancements in Machine Vision for Enhancing Human-Robot Interaction; and Hybrid Decision-making and Control for Intelligent Robots.

Part VI: Advances in Marine Robotics; Visual, Linguistic, Affective Agents: Hybrid-augmented Agents for Robotics;  and Wearable Robots for Assistance, Augmentation and Rehabilitation of human movements.

Part VII: Integrating World Models for Enhanced Robotic Autonomy; Advanced Sensing and Control Technologies for Intelligent Human-Robot Interaction; and Mini-Invasive Robotics for In-Situ Manipulation.

Part VIII: Robot Skill Learning and Transfer; Human-Robot Dynamic System: Learning, Modelling and Control; AI-Driven Smart Industrial Systems; and Natural Interaction and Coordinated Collaboration of Robots in Dynamic Unstructured Environments.

Part IX: Robotics in Cooperative Manipulation, MultiSensor Fusion, and Multi-Robot Systems; Human-machine Co-adaptive Interface; Brain inspired intelligence for robotics; Planning, control and application of bionic novel concept robots; and Robust Perception for Safe Driving.

Part X:  AI Robot Technology for Healthcare as a Service; Computational Neuroscience and Cognitive Models for Adaptive Human-Robot Interactions; Dynamics and Perception of Human-Robot Hybrid Systems; and Robotics for Rehabilitation: Innovations, Challenges, and Future Directions.

Contents

.- Robot Perception and Machine Learning.

.- Sparse representation of robotic machining deformation based on key points determination.

.- A Cross-media Localization Method for Amphibious Climbing Robot.

.- YOWOv2: A Stronger yet Efffcient Multi-level Detection Framework for Real-time Spatio-temporal Action Detection.

.- Double Barrier Function Based Mutual Collision Avoidance Motion Planning  Scheme Synthesized by Varying-parameter Neural Network for Redundant Dual Manipulators.

.- Multi-Scale Topology of Residual Network for Haze Removal.

.- Multi-task Heterogeneous Framework for Semi-supervised Medical Image Segmentation.

.- GI-Grasp: Target-Oriented 6DoF Grasping Strategy with Grasp Intuition Based on Vision-Language Models.

.- S2NeRF: Neural Radiance Fields Training with Sparse Points and Sparse Views.

.- Person Re-identiffcation with Multi-stage Channel Feature Aggregation.

.- Semi-Supervised Underwater Object Detection Using Grid Marker-Assisted Image Enhancement.

.- Modality Mitigation And Diverse Part Awareness for Visible-Infrared Person Re-identiffcation.

.- Binocular Reconstruction and Monocular 6Dof Pose Estimation for Model Free Robot Grasping.

.- Mip-NeRF+: Multi-Scale 3D Scene Synthesis.

.- StereoNeRF: Learning Radiance Fields from Stereo Observation for Driving View Synthesis.

.- Person Re-Identification Based on Random Occlusion for Local Feature Fusion.

.- MDLIRE-Net: Semantic Segmentation of Point Clouds Based on Multidimensional Local Information Reencoding.

.- Trajectory prediction method of flying uneven object based on improved Informer.

.- Error Propagation Mechanism for the 2.5-D Grid Map Update in LiDAR Gaze Control Applications for Omni-directional Wheeled Robots.

.- EMFIR: Efficient Dense Magnetic Field Mapping Based on Implicit Representation.

.- MFap: Multi-view Feature Map for Visual Localization.

.- Cognitive Intelligence and Security Control for Multi-domain Unmanned Vehicle Systems.

.- Research on the Method of Trajectory Planning for Unmanned Aerial Vehicles in Complex Terrains Based on Reinforcement Learning.

.- Research on functional safety-oriented supercapacitor vehicle-mounted low-voltage power supply system for new energy vehicles.

.- Application of Stroke Extraction and Trajectory Planning in Robotic Calligraphy.

.- Efficient Autonomous Exploration of Complex Environments Based on the Mobile Robot.

.- Distributed Formation Coordinated Control of Multiple Unmanned Surface Vehicles Based on Deep Reinforcement Learning.

.- A Hybrid Control Model for Platoons at Mixed-trafffc Freeways Based on Deep Reinforcement Learning.

.- Collision-Free Time-Varying Formation Control via Relative Localization.

.- Design of Human-Machine Collaborative Assembly System based on Reconfigurable Processes.

.- A Survey on Detecting Foreign Objects on Transmission Lines Based on UAV Images.

.- Homogeneous Multi-Robot Patrolling Based on Humanoid Formation Configuration.

.- All-in-one Image Restoration in Adverse Weather Conditions with Spatial-Frequency Domain Information.

.- Distributed Adaptive Control of Multiple Robots for Cooperative Load Transportation.

.- Research on Multi UAV Algorithm Based on Evolutionary Reinforcement learning.