World Robot Conference
( WRC )

05th - 06th Jan 2024 |

London,United Kingdom

Welcome To WRC

WRC Call For Paper

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