Track 7 - Intelligent Robots and Systems
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This track brings together researchers and practitioners to present advances and practical experiences in intelligent robotic and automation systems for real-world applications, including robot systems and prototypes, robot programming, AI-based control, perception, and sensor data processing, intelligent embedded systems, and benchmarking and usability studies, with an emphasis on validated, robust, and industrially relevant solutions.
Topics under this track include:
- SLAM, navigation, motion planning, and collision avoidance
- Perception, sensor fusion, vision systems, and environment understanding
- Robot learning, deep learning, and data-driven autonomy
- Multi-agent, cooperative, collaborative, and networked robotics
- Edge/cloud robotics and integrated intelligent systems
- Robot programming, control, and supervision
- Robotic arms, mobile manipulators, and heterogeneous platforms
- Simulation, digital twins, and virtual testing
- Human–robot interaction, usability, and safety
- Resilient autonomy and failure recovery
- Advanced applications of autonomous robots
- Sustainable robotics, circular economy, and lifecycle-aware applications
- Training and education in robotics
- Multi-Robot Planning and Scheduling
- Path and Task Planning