ICARA is an annual event which aims at a key theme on Automation, Robotics and Applications. ICARA 2022 is intended to provide a stimulating forum for researchers, scientists, engineers and practitioners to present their latest research findings, ideas, developments and applications in all aspects of automation, robotics and sensors. ICARA 2022 will include keynote addresses by eminent scientists as well as plenary, special and regular presentation sessions. Peer review of all the papers will use a blind process and acceptance will be based on quality, originality and relevance.

-- Topics --
We welcome author submission of papers concerning any branch of the Automation, Robotics and Applications, and their applications in education, and other subjects. The subjects include Adaptive Control Systems, Mobile and Autonomous Systems, Agriculture and Field Robotics, Robotics and Industrial Monitoring, Artificial Neural Networks in robotics or automation, etc, and their applications. More and more research will be centred on building robots and automation systems that can make a difference in the quality of human life. The days are not far when humanoid robots will be common in many homes and offices. Topics will include, but are not limited to:

Networked and Distributed Intelligent Control
Real Time Supervisory Control
Adaptive Control Systems
Embedded Systems
Mobile and Autonomous Systems
Virtual Systems
Multi-Agent Collaborative Systems (MACS)
Biorobotics, Biomechatronics
Space and Underwater Robotics
Cooperative and Network Robotics
Entertainment Robotics
Rescue Robotics
Agriculture and Field Robotics
Service and Security Robotics
Biped and Humanoid Robots
Human-Machine Interfaces and Interaction
Factory and Home Automation
Robotics and Industrial Monitoring
Simulation and Modelling of Robotic Systems
Novel Robotic Locomotion
Navigation, Mapping and Path Planning
Tele-robotics and Tele-operation
Fuzzy Systems, Neuro-Fuzzy Systems
Artificial Neural Networks in robotics or automation
Artificial Intelligence in Biosystems
Genetic Algorithm (GA)
Evolutionary Computation (EC) and Algorithms
DNA Computing for Autonomous Agents
Environmental and Food sensors
Vision Systems for Automation and Robotics
Smart Sensors and Sensor Fusion
Implantable Sensors for Robotic Applications
Sensors for Factory and Home Automation
Instrumentation for Robotics and Automation
Virtual Systems for Training and Education
Mechatronics or Robotics Education

-- Conference Chairs --
Prof. Ramesh K. Agarwal, Washington University in St. Louis, USA (IEEE Fellow)
Prof. Xin-She Yang, Middlesex University, UK (SMIEEE)