Reprint

Sensors for Robots II

Edited by
August 2024
188 pages
  • ISBN978-3-7258-1675-0 (Hardback)
  • ISBN978-3-7258-1676-7 (PDF)

This is a Reprint of the Special Issue Sensors for Robots II that was published in

Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary

At present, robots are playing increasingly important roles in industry, life sciences, education, medicine, social services, the military, etc. Sensors are the key components for robots to perceive environmental information. They are the basis of the automation control abilities of a robot. The following Special Issue includes ten papers focused on the latest advancements in the field of sensors for robots and robotic sensing applications.

Format
  • Hardback
License and Copyright
© 2024 by the authors; CC BY-NC-ND license
Keywords
UAV robot microwave imaging; multi-path scattering model; UAV networking using satellite transmitting signals; snake robots; visual localization; path following; reinforcement learning control; coverage control; multi-robot; cooperative sensors; optimization; prehensile; non-prehensile; robotic manipulation; Markov decision process; deep reinforcement learning; deep Q-network; fully convolutional network; DenseNet-121; grinding robot; constant force control; surface tracking; fuzzy PID control; wind turbine blade; intracellular pressure; electrode circuit model; micropipette electrode; micro-nano operation; force control; haptic; upper limb; rehabilitation; shoulder movements; medical rehabilitation; soft robotics; soft sensors; flexible porous structures; deep learning; long short-term memory; omnidirectional vision; mobile robot; localization; deep learning; edge computing; neural networks; training data; transparent objects; bounding box; segmentation; pose estimation; n/a

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