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IRAS 2027 : 2027 International Conference on Intelligent Robotics and Autonomous Systems

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Link: http://www.iras.org.cn
 
When May 28, 2027 - May 30, 2027
Where Shenzhen, China
Submission Deadline Jan 4, 2027
Categories    robotics in autonomous vehicle   adaptive control and kinematic   ethical challenges in autonomo
 

Call For Papers

2027 International Conference on Intelligent Robotics and Autonomous Systems (IRAS 2027)

★CONTACT US
Website: www.iras.org.cn
Date: May 28-30, 2027
Venue: Shenzhen, China
Camera-ready Submission Due: January 4, 2027
Email: info@iras.org.cn
Tel:+86-28-85575979 (International)
Monday-Friday, 9:00am-12:00pm and 1:30pm-6:00pm


★Welcome to IRAS 2027
We invite you to join the 2027 International Conference on Intelligent Robotics and Autonomous Systems (IRAS 2027), which will take place in Shenzhen, China during May 28-30, 2027. This conference is a forum for researchers, scientists, engineers and industry professionals to share the latest advances in the field of Robotics and Autonomous Systems.


★Publication Information
Registered and presented full papers will be included in the IRAS 2027 digital conference proceedings and submitted to major citation databases (including, but not limited to Ei Compendex and Scopus) for review and indexing.


★Call for papers
Topics of Interest include but not limited to:
Application of Artificial Intelligence in Autonomous Robotics
Path Planning and Navigation Techniques for Intelligent Robots
Multi-Robot Cooperation and Coordination in Autonomous Systems
Innovative Applications of Deep Learning in Robot Perception
Adaptive Control and Kinematics of Robots
Robustness and Fault Tolerance in Autonomous Systems
Artificial Neural Networks for Robot Motion Control
Robotics in Autonomous Vehicle Systems
Human-Robot Interaction in Collaborative Environments
Swarm Intelligence in Autonomous Robotics
Ethical and Social Impacts of Intelligent Robots and AI
Safety and Reliability in Autonomous Robot Control Systems
Autonomous Robotics for Precision Agriculture
Data Fusion Techniques for Autonomous Robotic Systems
Ethical Challenges in Autonomous Robot Deployment
Vision-Based Autonomous Navigation and Obstacle Avoidance

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