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 I: System Design and Analysis

System modeling and identification
System prediction
Stability analysis
Distributed parameter systems
Collaborative automative systems
Chaotic systems
Multi-agent systems
Stochastic systems
Biomedical systems and biosystems
Complex networks
Computer controlled system design
Cyber physical systems
Transportation systems
Industrial systems
Agent-based systems
Cognitive systems

Track II: Control Theory and Applications

Optimal control
Model predictive control
Process control
Nonlinear control
Robust control
Variable structure control
Distributed control
Decentralized control
Adaptive control
Data-driven control
Cooperative control
Guidance, navigation and control
Parallel systems and parallel control
Fault detection, diagnosis and prognostics
Networked control systems
Embedded control systems

Track III: Computational Intelligence and Intelligent Control

Fuzzy logic systems and fuzzy control
Neural networks and control
Nature-inspired computing
Intelligent optimization
Artificial immune systems
Logistics and supply chain optimization
Computational finance and economics
Genetic algorithms
Swarm intelligence and optimization
Evolutionary computation
Reinforcement learning
Adaptive dynamic programming
Neurodynamics
Spiking neural networks
Cognitive and developmental systems
Learning control

Track IV: Robotics

Nano and mechatronic systems
3D simulation and mathematical modeling of robots
Environmental perception of robots
Reliability, scalability and validation
Multi-robot systems
Service robots
Testing and validation software of robots
Offline simulation for robot design
Motion planning and learning
Human-computer interaction
Human-robot interfaces
Unmanned aerial vehicles
Intelligent autonomous systems
Smart sensors
Climbing, creeping, and walking robots
Soft robotics

Track V: Machine learning and artificial intelligence

Machine learning
Pattern recognition
Decision making systems
Activity/behaviour recognition
Support vector machines
Supervised and unsupervised learning
Image/video processing and analysis
Image/video retrieval
Localization, navigation and mapping
Music synthesis and speech recognition
Scene analysis
Target detection, tracking and surveillance
Virtual reality 
Deep learning
Parallel intelligence
Knowledge representation and reasoning