Advances in Industrial Robotics and Intelligent Systems

• Format: eBook
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: History of engineering and technology; Technology: general issues; 3D robot modeling; AMR navigation; AMR safety; automated guided vehicles; bin picking; computational mechanics; cooperative control; courtesy cues; covariance intersection; dynamic programming; forward and backward scenarios; forward kinematics; HTA questionnaire; human perception; human-robot interaction; indoor localization; industrial manipulator; industrial robots; inverse kinematics; linear synchronous motor (LSM); magnetic levitation; magnetic propulsion; mobile manipulator; modeling; motion planning; multi-AGV control; multi-robot coordination; n/a; object transportation; path planning; permanent magnet motors; pose estimation; redundancy resolution; redundant robot; robot manipulator kinematics; robot vision; robotic arms; robotics; ROS; routing; scheduling; shop floor configuration; simulation; state estimation; three-phase inverter; Timed Enhanced A*; tolerance to communication faults; trajectory evaluation; trajectory optimization criteria; uncertainty-aware state observer
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (222 p.)
• ISBN: 9783036575407; 9783036575414; books978-3-0365-7541-4
• Access: Open Access

Robotics and intelligent systems often appear to be linked, as they take advantage of the best abilities of each other towards a common goal. In industry, it is common to see robotic systems aided by machine learning and vice versa and in applications spanning from robot navigation, grasping, human-robot interaction/collaboration, safety, and team management, among others. Achievements targeting the industrial domain can be directly applied in robotic systems operating in other domains. While the advancements in the last few years have been enormous, industrial robotics and intelligent systems face several scientific and technological challenges related to their integration with other systems, interaction with humans, safety, flexibility, reconfigurability, and autonomy. These challenges are especially relevant when robots operate in unstructured industrial environments and share their workspaces with human co-workers and other robots. This reprint collects research and technological achievements related to advanced intelligent robotic systems. The contributions cover the coordination of multiple robots navigating on the factory floor, path planning strategies, human-robot interaction, robot redundancy and kinematics, systems integration, grasping, and manipulation.