Call for Papers

Topics of interest for submission include any topics on Robotics and Automation Sciences.

Adaptive, robust, and nonlinear control
Fuzzy logic and neuro-fuzzy systems
Machine learning and deep learning for control
Reinforcement learning in robotics and automation
Neural network-based control
Intelligent decision-making and planning
Evolutionary computation and optimization algorithms
Distributed and networked control
Autonomous decision and planning
Robot learning and cognitive robotics
Large language models and AI for robotics
Intelligent fault detection and diagnosis
Real-time and embedded control

Track 2 — Robotic Systems and Autonomy

Robot design and system development
Industrial and service robots
Collaborative robots
Mobile robots and autonomous systems
Humanoid and social robots
Medical and rehabilitation robotics
Multi-robot systems and swarm robotics
Autonomous vehicles and unmanned systems
Telerobotics and teleoperation
Networked and cloud robotics
Space, aerial, and underwater robotics
Robot safety, reliability, and applications

Track 3 — Perception and Sensing

Computer vision for robotics
Image processing and pattern recognition
3D vision and reconstruction
Robot perception and scene understanding
Localization, mapping, and SLAM
Multi-sensor fusion
Tactile, force, and intelligent sensors
Sensor networks and data integration
Signal processing for robotics
Multimodal sensing and environmental perception

Track 4 — Manipulation and Interaction

Robot manipulation and grasping
Motion planning and robot navigation
Human-robot interaction
Human-machine interfaces
Physical human-robot interaction
Collaborative robot technologies
Dexterous and compliant manipulation
Skill-based robotic manipulation
Intelligent components and actuators
Force- and tactile-based interaction
Robot motion and physical interaction

Track 5 — Robotic Computing and Digital Twins

Embedded AI and edge computing
Robot operating systems and middleware
Robotics simulation
Digital twins for robotic systems
Digital twin modeling and development
System identification and dynamic modeling
Robotic software architectures
Real-time robotic computing
Networked and cloud-based robotic computing
Data-driven modeling of robotic systems
Virtual and simulation-based robotics

Track 6 — Intelligent Manufacturing and Automation

Intelligent manufacturing systems
Industrial automation and robotics
Smart factories and Industry 4.0
Flexible manufacturing systems
Cyber-physical production systems
Human-robot collaboration in manufacturing
Automated inspection and quality control
AI-enabled manufacturing processes
Predictive maintenance and intelligent monitoring
Industrial Internet and networked automation
Digital transformation in manufacturing
Robotic manufacturing and precision engineering
Production planning and optimization
Simulation and optimization of manufacturing systems
Energy-efficient and sustainable automation