ICRAS 2027: International Conference on Robotics and Autonomous Systems

ICRAS 2027: International Conference on Robotics and Autonomous Systems explores the design, control, and applications of robotics and autonomous systems, including human-robot interaction, medical robotics, and intelligent robotic technologies.

Key Topics

• Applications of robotics
• Robotics
• Current and common research projects
• Applications of robotics, advantages and disadvantages
• Robotics and engineering applications
• Innovations in robotics
• Dexterous manipulation
• Kinematics, dynamics, and control
• Mechanisms of robots
• Locomotion, nonlinear control, and visual serving
• Snakes, and novel actuators
• Design, humanoids, hands, and legged system
• Micro/nanobots, and novel sensors
• Reconfigurable robots and mems/nems
• Planning and algorithms for robots
• Haptics and tactile interfaces
• Computational geometry, simulation, and planning
• Motion planning, task planning, coordination, complexity and completeness
• Force control and manipulation planning
• Contact modeling, grasp synthesis, and assembly
• Brain-machine interfaces, and telerobotics
• Human-robot interaction and human centered systems
• Social robots, safe interaction, robots and art
• Human augmentation, and assistive robots,
• Natural language generation
• Grounded language acquisition
• Underwater robotics
• Human-robot dialogue
• Agricultural and mining robotics
• Aerial/space robotics
• Multi-robot systems
• Distributed systems
• Medical robotics
• Networked robots
• Smart surgical tools
• Robot-assisted procedures
• Interventional therapy
• Rehabilitation robotics
• Surgical simulation
• Image-guided procedures
• Telesurgery
• Soft-tissue modeling
• Biomimetic robotics
• Biological robotics
• Neurobotics, prosthetics, robotics and molecular biology
• Robotic investigation of biological science and systems
• Vision, tactile and force perception, and range sensing
• Robot perception
• Mobile systems and mobility
• Sensor fusion, calibration and identification
• Collision avoidance, and exploration
• Mapping, localization, navigation, slam
• Reinforcement learning
• Estimation and learning for robotic systems
• Deep learning
• Bayesian techniques
• Imitation learning
• Graphical models