The IEEE Robotics and Automation Society is committed to advancing diversity in Robotics and Automation, and to promoting an inclusive and equitable culture that welcomes, engages, and rewards all who contribute to the field, without regard to ethnicity, religion, gender, disability, age, national origin, sexual orientation, gender identity, or gender expression.
The conference organizing committee invites researchers worldwide to submit papers and share the valuable experiences with the scientists from the world. Topics of interest for submission include, but are not limited to:
| Track 1. Robotics Systems and Advanced Robot Design 机器人系统与先进机器人设计 Robot Mechanism Design and Kinematics Robot Dynamics and Mechanical Modeling Novel Robot Structures and Architectures Manipulator Design and Development Mobile Robot Design and Configuration Humanoid Robot Design and Development Legged Robots and Walking Mechanisms Parallel Robots and Delta Robots Soft Robotics and Flexible Robot Structures Bio-inspired Robotics and Bionic Mechanisms Modular and Reconfigurable Robots Underactuated and Hyper-redundant Robots Micro and Nano Robotics Robot Actuators and Drive Systems Robot Prototyping, Manufacturing and Mechanical Integration |
Track 2. Robot Perception, Sensing and Intelligent Navigation 机器人感知、传感与智能导航 Computer Vision for Robotics 3D Vision and Point Cloud Processing LiDAR-based Perception and Sensing Multi-sensor Fusion and Information Integration Robot Localization and Positioning Simultaneous Localization and Mapping (SLAM) Visual SLAM and Visual Odometry Autonomous Robot Navigation Path Planning and Motion Planning Obstacle Detection and Avoidance Environment Modeling and Scene Understanding Object Detection, Recognition and Tracking Semantic Perception and Scene Reconstruction Sensor Networks and Intelligent Sensing Systems Perception and Navigation in Dynamic Environments |
| Track 3. Robotics Control and Motion Planning 机器人控制与运动规划 Robot Motion Control and Trajectory Tracking Adaptive and Robust Robot Control Nonlinear Control of Robotic Systems Model Predictive Control for Robotics Optimal Control and Dynamic Optimization Intelligent and Learning-based Robot Control Force and Impedance Control Position and Velocity Control Motion Planning and Trajectory Optimization Cooperative Motion Control Multi-degree-of-freedom Robot Control Hybrid and Switching Control Systems Fault-tolerant Control of Robotic Systems Distributed and Networked Robot Control Real-time Control and Embedded Control Systems |
Track 4. Artificial Intelligence and Autonomous Robotics 人工智能与自主机器人 Artificial Intelligence in Robotics Machine Learning for Robotic Systems Deep Learning-based Robotics Reinforcement Learning for Autonomous Robots Imitation Learning and Learning from Demonstration Intelligent Decision-making and Planning Cognitive Robotics and Intelligent Behavior Autonomous and Self-learning Robots Generative AI for Robotics Large Language Models for Robotic Applications Human-Robot Interaction and Collaboration Multi-agent Robotics and Cooperative Intelligence Swarm Robotics and Collective Intelligence Explainable and Trustworthy AI in Robotics Intelligent Robot Systems and Autonomous Decision-making |
| Track 5. Industrial Automation and Smart Manufacturing 工业自动化与智能制造 Industrial Robotics and Applications Smart Manufacturing and Intelligent Production Systems Industrial Automation and Process Control Flexible Manufacturing Systems Robotic Assembly and Disassembly Automated Inspection and Quality Control Industrial Manipulation and Material Handling Collaborative Robots in Manufacturing Computer-integrated Manufacturing Industrial Internet of Things (IIoT) Digital Twin for Smart Manufacturing Cyber-physical Production Systems Intelligent Factory and Smart Factory Technologies Automated Production Scheduling and Optimization Industrial Robotics Integration and Deployment |
Track 6. Control Theory and Automation Engineering 控制理论与自动化工程 Classical and Modern Control Theory System Modeling, Identification and Estimation Linear and Nonlinear Dynamical Systems Optimal Control Theory and Applications Robust Control and Stability Analysis Adaptive Control Systems Fuzzy Logic and Intelligent Control Sliding Mode Control Distributed Control Systems Networked Control Systems Process Automation and Control Industrial Process Monitoring and Diagnosis Fault Detection, Diagnosis and Prognosis Automation System Design and Implementation Control System Optimization and Performance Analysis |
| Track 7. Mechatronics, Embedded Systems and Intelligent Instrumentation 机电一体化、嵌入式系统与智能仪器 Mechatronic Systems Design and Integration Embedded Systems for Robotics and Automation Real-time Operating Systems and Applications Microcontrollers and Microprocessor-based Systems FPGA and SoC-based Control Systems Intelligent Sensors and Instrumentation Actuator and Motor Control Technologies Servo Systems and Motion Drives Power Electronics for Robotics and Automation Robotics Hardware and Electronic Systems Wireless Communication for Robotic Systems Industrial Communication and Fieldbus Networks Edge Computing for Robotics and Automation Hardware-software Co-design System Integration, Testing and Reliability Engineering |
Track 8. Emerging Applications and Advanced Automation Technologies 新兴应用与先进自动化技术 Autonomous Vehicles and Intelligent Transportation Autonomous Aerial Robots and UAV Systems Underwater Robotics and Autonomous Marine Systems Space Robotics and Planetary Exploration Medical Robotics and Surgical Automation Rehabilitation Robotics and Assistive Technologies Agricultural Robotics and Smart Agriculture Service Robotics and Domestic Applications Construction Robotics and Infrastructure Automation Logistics Robotics and Warehouse Automation Inspection, Maintenance and Disaster-response Robotics Human-centered Robotics and Assistive Automation Energy Systems Automation and Intelligent Control Robotics for Environmental Monitoring and Protection Emerging Technologies and Future Trends in Robotics and Automation |