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Palabras clave – provistas por la editorial

UAVs; inspection and maintenance; mobile robots; insulators; artificial intelligence; mobile cleaning robot; vibration source classification; predictive maintenance; deep learning; 1D CNN; defect detection; Faster R-CNN; object detection; IoRT; inspection robot; navigation; model predictive control; path planing; warehouse automation; underground mining robots; scan matching; localization and SLAM in tunnels; 2D lidar navigation; GPS-denied environment; robot navigation; path planning; potential field; bilinear interpolation; dynamic local re-planning; domestic dirt; dirt dataset; audit robot; cleaning benchmark; dirt classification; robot-aided cleaning auditing; geometrical feature; cleaning auditing; swarm algorithms; motion trajectory prediction; kinematical models; gait biomechanics; spherical robot; model; simulation; CoppeliaSim (V-REP); visual servoing; autonomous landing; monocular vision; aerial robotics; localization and SLAM; 3D lidar; range sensing; Uniform Second-Order Sliding Mode Observer; Prescribed Performance Control; robot manipulators; finite-time Stability; feature detection; light-weight mapping; B-splines; localization; mobile robot; complete coverage; path smoothing; velocity profile optimization; humanoid robot; state estimation; motion capture; Whole-Body Control; ADHD; screening; skeleton; position estimation; indoor positioning; sensor fusion; RSSI; magnetometer; fingerprint; wheeled mobile robots; trajectory generation; velocity profile; trajectory optimization; Bézier curves; n/a