Reprint

Advances in Industrial Robotics and Intelligent Systems

Edited by
May 2023
222 pages
  • ISBN978-3-0365-7540-7 (Hardback)
  • ISBN978-3-0365-7541-4 (PDF)

This is a Reprint of the Special Issue Advances in Industrial Robotics and Intelligent Systems that was published in

Computer Science & Mathematics
Engineering
Summary

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.

Format
  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
Keywords
dynamic programming; redundancy resolution; redundant robot; inverse kinematics; ROS; industrial manipulator; multi-AGV control; path planning; Timed Enhanced A*; tolerance to communication faults; multi-robot coordination; automated guided vehicles; routing; scheduling; motion planning; simulation; robotics; forward kinematics; computational mechanics; robot manipulator kinematics; 3D robot modeling; three-phase inverter; linear synchronous motor (LSM); magnetic levitation; magnetic propulsion; permanent magnet motors; trajectory optimization criteria; robotic arms; trajectory evaluation; path planning; bin picking; industrial robots; modeling; pose estimation; robot vision; simulation; human–robot interaction; AMR navigation; AMR safety; human perception; courtesy cues; forward and backward scenarios; HTA questionnaire; shop floor configuration; indoor localization; state estimation; covariance intersection; uncertainty-aware state observer; object transportation; cooperative control; mobile manipulator; n/a