Intelligent Robotics and Applications
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.
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Content
.- 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.