Proceedings of the 3rd International Conference on the Frontiers of Robotics and Software Engineering (FRSE 2025)
Description
This book is a collection of research papers from the 3rd International Conference on the Frontiers of Robotics and Software Engineering (FRSE 2025), featuring contributions from leading experts in the field. It presents innovative research in the fields of robotics and software engineering, showcasing cutting-edge topics such as robot design, industrial automation, human-robot interaction, medical robotics, and advanced algorithms. The proceedings explore developments in cyber robotics, mechatronics systems, and software engineering methods, as well as the integration of virtual environments and augmented reality into robotics applications. By addressing both theoretical advancements and practical applications, the book offers insights into how emerging technologies are shaping the future of robotics and software systems. Readers will benefit from the latest findings and methodologies, and will be inspired to explore new approaches in their own research or industrial work. The primary audience includes academic researchers, engineers, industry professionals, and graduate students involved in robotics, automation, software engineering, and related fields.
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Persons
Zhao Mingguo received B.E. degree in mechatronic engineering, the M.Sc. degree in space vehicle design, and the Ph.D. degree in mechatronic engineering from Harbin Institute of Technology, Harbin, China, in 1995, 1997, and 2001, respectively. From 2001 to 2003, he was Postdoctoral with the Department of Precision Instrument, Tsinghua University, Beijing, China. In 2014, he was Visiting Scholar with the Massachusetts Institute of Technology, Cambridge, MA, USA. He is currently Professor with the Department of Automation, Tsinghua University. His research interests include the integration of "brain-inspired chips" and "brain-inspired computing" to build a research platform for artificial general intelligence, as well as brain-inspired computing-based robotic control encompassing locomotion, whole-body control, and neuromorphic robotics in humanoid robots.
Jin Zhang is Professor and Doctoral Advisor at Changsha University of Science and Technology (CSUST), where he serves as Dean of the College of Computer and Communication Engineering. He is also Director of the Hunan Provincial Engineering Research Center for Power Blockchain. In the field of scientific research, Prof. Zhang has led over 20 projects, including those funded by the National Natural Science Foundation of China (NSFC). He has published more than 80 research papers in prestigious journals and conferences, including PNAS, and has received the China Industry-Academia-Research Collaboration Innovation Award.
Jiangping Hu received the B.S. degree in applied mathematics and the M.S. degree in computational mathematics from Lanzhou University, Lanzhou, China, in 2000 and 2004, respectively, and the Ph.D. degree in modeling and control of complex systems from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2007. He has held various positions with the Royal Institute of Technology, Stockholm, Sweden, The City University
of Hong Kong, Hong Kong, Sophia University, Tokyo, Japan, and Western Sydney University, Sydney, NSW, Australia. He is currently a Professor with the School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China. His research focuses on uncertain multi-agent control and optimization. He has published 120 SCI papers in top-tier automation journals including Automatica and IEEE Transactions (81 as first/corresponding author, 19 ESI Highly Cited Papers, with 5,208 SCI citations), authored one monograph, and been granted 10 invention patents. He has led several key projects, including sub-projects of the National Key R&D Program, projects under the National Natural Science Foundation, and the Ministry of Education's New Century Excellent Talents Support Program. The efficient distributed learning control method he proposed addresses online model identification and dynamic control in uncertain multi-agent systems, with related achievements becoming benchmark methods in unmanned swarm decision-making and control. His work has been cited and recognized by 130 IEEE Fellows, and he has received the Automatica Highly Cited Paper Award and the Control Theory and Technology Best Paper Award. He currently serves as an editorial board member for journals such as Journal of Systems & Complexity, Kybernetika, Mathematics, and Plos Complex Systems, and holds roles as General Chair, Publication Chair, or Program Chair for conferences including FRSE 2024,2025, EEAC 2024, ICoCTA 2025, and ICSET 2025. He has been consistently listed in World's Top 2% Scientists and promotes industry-academia-research integration and disciplinary development in intelligent robotics.
Content
Anti-Aliasing Rendering Method for 3D gaussian splatting with Adaptive Dilation Integration.- "A High-Bandwidth Processing-In-Sensor Circuit for Convolution Calculations".- Frequency-Decoupled Event-Based Visual Odometry.- Error Simulation System for High-Precision Time-Frequency Synchronization Based on Timestamp Transfer Mechanism.- Research on Detection and Risk Assessment of Mobile Obstacles in Underground Scenarios.- Research on Path Planning for Mobile Robots Using the DMSALA Algorithm.- High-Precision Phase Synchronization Based on Ultra-Wideband.- EndoSim: A Versatile Simulation Platform for Field-of-View Control Optimization in Endoscopic Robots.- Design and realization of ROS-based all-terrain oil and gas pipeline inspection robot.- A Swin Transformer and CLIP-based Framework for Generalized DeepFake Detection.- A Novel Three-Finger Robotic Gripper with Flexible Belt Mechanism for Precision and Compliant Grasping.- Design and Gradient-Wind Gliding Simulation of Bio-inspired Aircraft.- "From Model to Mission: Real-World Deployment of Pretrained AI in Robot Navigation".- Aruco Marker-Based Minimap Switching and Relocalization for Efficient Large-Scale Robot Navigation.- UWB Assisted Navigation and Trajectory Tracking for Autonomous Vehicles.- 3D Pipeline Layout and Optimization Based on Path Planning and GPSO.- Design and Implementation of a Service Scheduling Mechanism for Ship Task Scheduling.- Dynamic Path Planning for UAVs Using Sine-Levy and Gaussian-Cauchy Ant Lion Optimizer with an Improved DWA Algorithm.- Booster Gym: An End-to-End Reinforcement Learning Framework for Humanoid Robot Locomotion.- Modeling of Cannula-Type Flexible Needle-Tissue Interaction Based on Nonlinear Elastic Potential Energy.- Edge-AI-Powered Magic Mirror: A Real-Time Intelligent Interaction System Integrating YOLOv8 and Ollama on Raspberry Pi.- Non-singular guidance control method for anti-side-slip of snake robots.- Entropy Regularization Enhanced Proximal Policy Optimization for Micro-mobility in MetaUrban.- Real-Time Trajectory Planning Algorithm Design and Experimental Verification in 3D Blind Scanning Scenarios.- From Optimal Control to Learning:LQR, QP and RL Comparison on Two-wheeled Balancing Robot.- Research and Implementation of Robot Obstacle Avoidance Algorithm Based on LiDAR.- An Information Evolution Analysis Framework for Range-Based Relative Positioning and Orientation.- Upper Limb Muscle Force Prediction Based on SEMG and Resistance Control of Rehabilitation Robots.- Enhanced DWA Algorithm Using Interval Type-2 Fuzzy Logic Control in Complex Environments.- Underwater Target Location via Depth-Adaptive Unsupervised Learning.- Design and Control of Special Operations Drones Equipped with Scalable Robotic Arms.- Camera View Planning for Active Visual SLAM Based on Deep Reinforcement Learning.- Research on Fruit Type Detection Based on Harvesting Robots.- Frequency Measurement Enhancement For Resonant Accelerometers and Their Application in Unmanned Cluster Collaboration.- Low-Resource Fine-tuning of Multimodal Foundation Models: A Study on Dialect Speech Recognition and Medical QA Systems.- Design of an Industrial Internet-Based Equipment Data Acquisition System: A Lightweight Implementation Scheme for HTTP Protocol.- Resource-Adaptive Multi-Task Federated Learning across Heterogeneous Devices.- Research on Emotion Recognition Based on Multi-scale Feature Extraction of Speech.- Design and realization of forest fire monitoring system based on Internet of Things (IoT).- Research on high precision image classification system based on multi-scale feature fusion and attention optimization.- A Method of Checking Prioritization of System Requirements Based On "Four Property Analysis".-
An Improved Lightweight Dense Pedestrian Detection Algorithm Based on YOLOv11.- Advanced LED-Based Indoor Positioning and Path Planning Algorithm.- Adaptive Parameter Control Framework for Metal Tube Crimping Process Using Hybrid Fuzzy Expert System and Fuzzy-LSTM Prediction Model.- A Method for Anomaly Detection in IoT Traffic Based on Self-Supervised Deep Learning.- Research on Multi-Strategy Adaptive Framework for Retrieval-Augmented Generation.- A Comparative Study of Groq-Based and Agent-Based Models for Software Challenges Management and Optimization.- Student Classroom Behavior Detection Algorithm Based on Improved YOLOv8.- Multi-Frequency Tensor Decomposition Frameworks for Dynamic Brain Network Analysis Based on CCPD Models.- Multi-Modal Knowledge Graph and Hierarchical Graph Transformer for Software Vulnerability Analysis.- Improved MobileNetV2 fire detection system for granary scenes.- Model-driven development of ROS with LLM: ROMA (Robot Ontology Modelling Approach).- Self-Attention-BiLSTM lactation curve prediction for Test-day.- Subpixel-Level Cephalometric Ruler Scale Calibration by Keypoint Neighborhood Analysis and Fourier Analysis.- "Development of a thrust allocation algorithm for a dynamic positioning Ballast water treatmentvessel".