Trajectory Planning and Object Recognition for Robot Sensing and Control

Abstract

An increasing number of robots are entering our lives and industrial production. Trajectory planning and object recognition have become key research areas, with tasks such as 3D grasping, flexible operation, and navigation depending on machine vision and multi-sensor fusion. Recent advances in such technologies have driven novel theories, mechanisms, and processing technologies for intelligent robots and autonomous unmanned systems. This Special Issue has collected papers discussing new sensor-based robot control theories and engineering applications, trajectory planning and control, environment perception and target detection, multi-sensor fusion and calibration, and autonomous unmanned systems. The research focuses on UAVs, human posture, underwater bionic aircraft, multi-sensor fusion, etc. The development of artificial intelligence algorithms provides a viable solution for the trajectory planning and target recognition of robot sensing and control, and it shows immense potential in dealing with complex environments and dynamic constraints.