Intelligent Robotics and Applications 17th International Conference, ICIRA 2024, Xi’an, China, July 31 – August 2, 2024, Proceedings, Part II /

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 sel...

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Bibliografiske detaljer
Institution som forfatter: SpringerLink (Online service)
Andre forfattere: Lan, Xuguang (Editor), Mei, Xuesong (Editor), Jiang, Caigui (Editor), Zhao, Fei (Editor), Tian, Zhiqiang (Editor)
Format: Electronisk eBog
Sprog:engelsk
Udgivet: Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Udgivelse:1st ed. 2025.
Serier:Lecture Notes in Artificial Intelligence, 15202
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Online adgang:https://doi.org/10.1007/978-981-96-0774-7
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Indholdsfortegnelse:
  • -- 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.