Description

Book Synopsis

.- 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.

Intelligent Robotics and Applications

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    A Paperback by Xuguang Lan

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      Publisher: Springer
      Publication Date: Publication Date: 2/24/2025
      ISBN13: 9789819607730, 978-9819607730
      ISBN10: 9819607736
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis

      .- 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.

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