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Sensors for Robots II
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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.
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Keywords
- bounding box
- constant force control
- cooperative sensors
- coverage control
- deep learning
- deep Q-network
- deep reinforcement learning
- DenseNet-121
- edge computing
- electrode circuit model
- flexible porous structures
- force control
- fully convolutional network
- fuzzy PID control
- grinding robot
- haptic
- intracellular pressure
- localization
- long short-term memory
- Markov decision process
- Medical rehabilitation
- micro-nano operation
- micropipette electrode
- Mobile Robot
- multi-path scattering model
- multi-robot
- n/a
- neural networks
- non-prehensile
- omnidirectional vision
- optimization
- path following
- pose estimation
- prehensile
- Rehabilitation
- reinforcement learning control
- robotic manipulation
- segmentation
- shoulder movements
- snake robots
- soft robotics
- soft sensors
- surface tracking
- training data
- transparent objects
- UAV networking using satellite transmitting signals
- UAV robot microwave imaging
- upper limb
- visual localization
- wind turbine blade
Links
DOI: 10.3390/books978-3-7258-1676-7Editions