International Conference on Control, Robotics Engineering and Technology (CRET 2025)

Topics

• Robotics Engineering and Technology
  • Cognitive Approach for Robotics
  • Autonomous Agents
  • Control and Supervision Systems
  • Collective and Social Robots
  • Engineering Applications
  • Dexterous Manipulation
  • Human-Machine Interfaces
  • Human Centered Systems
  • Industrial Automation and Robotics
  • Humanoid Robots
  • Intelligent Transportation Technologies and Systems
  • Industrial Networks and Automation
  • Mechanism Design and Applications
  • Localization, Navigation and Mapping
  • Medical Robots and Bio-Robotics
  • Mechatronics Systems
  • Mobile Robots and Intelligent Autonomous Systems
  • Micro Robots and Micro-Manipulation
  • Modeling and Identification
  • Mobile Sensor Networks
  • Network Robotics
  • Modelling, Simulation and Architecture
  • Perception Systems
  • Perception and Awareness
  • Robot Design, Development and Control
  • Robot Control
  • Search, Rescue and Field Robotics
  • Robot Sensing and Data Fusion
  • Surveillance, Fault Detection and Diagnosis
  • Space and Underwater Robots
  • Vehicle Control Applications
  • Telerobotics and Teleoperation
  • Vision, Recognition and Reconstruction
  • Virtual Environment, Virtual and Augmented Reality
  • Visual Servoing
• Control Science and Engineering
  • Adaptive Signal Processing and Control
  • Adaptive Control
  • Complex Systems
  • Biological Inspired Sensors
  • Control Engineering Education
  • Computer and Microprocessor-Bzcations
  • Co-Operative Control
  • Control of Biological Systems
  • Distributed Control Systems
  • Discrete Event Systems
  • Environmental Monitoring and Control
  • Engineering Applications
  • Fuzzy Control
  • Evolutionary Computation and Control
  • Hybrid Learning Systems
  • Fuzzy Systems
  • Information-Based Models for Control
  • Identification and Estimation
  • Intelligent Control Systems and Optimization
  • Intelligent Components for Control
  • Knowledge-Based Systems Applications
  • Intelligent Fault Detection and Diagnosis
  • Mechanical, Force and Tactile Sensors
  • Machine Learning in Control Applications
  • Neural Networks Based Control Systems
  • Networked Control Systems
  • Precision Motion Control
  • Planning and Scheduling
  • Real-Time Systems Control
  • Process Control
  • Sensor Network Systems
  • Robust Control
  • Software Agents for Intelligent Control Systems
  • Sensors Fusion
  • System Modelling