Advances in Industrial Robotics and Intelligent Systems

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-...

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Bibliographic Details
Other Authors: Moreira, António Paulo (Editor), Neto, Pedro (Editor), Vidal, Félix (Editor)
Format: Electronic Book Chapter
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Advances in Industrial Robotics and Intelligent Systems 
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520 |a 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. 
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546 |a English 
650 7 |a Technology: general issues  |2 bicssc 
650 7 |a History of engineering & technology  |2 bicssc 
653 |a dynamic programming 
653 |a redundancy resolution 
653 |a redundant robot 
653 |a inverse kinematics 
653 |a ROS 
653 |a industrial manipulator 
653 |a multi-AGV control 
653 |a path planning 
653 |a Timed Enhanced A* 
653 |a tolerance to communication faults 
653 |a multi-robot coordination 
653 |a automated guided vehicles 
653 |a routing 
653 |a scheduling 
653 |a motion planning 
653 |a simulation 
653 |a robotics 
653 |a forward kinematics 
653 |a computational mechanics 
653 |a robot manipulator kinematics 
653 |a 3D robot modeling 
653 |a three-phase inverter 
653 |a linear synchronous motor (LSM) 
653 |a magnetic levitation 
653 |a magnetic propulsion 
653 |a permanent magnet motors 
653 |a trajectory optimization criteria 
653 |a robotic arms 
653 |a trajectory evaluation 
653 |a bin picking 
653 |a industrial robots 
653 |a modeling 
653 |a pose estimation 
653 |a robot vision 
653 |a human-robot interaction 
653 |a AMR navigation 
653 |a AMR safety 
653 |a human perception 
653 |a courtesy cues 
653 |a forward and backward scenarios 
653 |a HTA questionnaire 
653 |a shop floor configuration 
653 |a indoor localization 
653 |a state estimation 
653 |a covariance intersection 
653 |a uncertainty-aware state observer 
653 |a object transportation 
653 |a cooperative control 
653 |a mobile manipulator 
653 |a n/a 
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