Robot Systems for Rail Transit Applications
Auteur : Liu Hui
- Introduces robot and artificial intelligence (AI) systems for rail transit applications
- Presents research alongside step-by-step coverage of real-world cases
- Gives the theoretical foundations underlying practical application
- Offers solutions for high-speed railways from the latest work in robotics
- Shows how robotics and AI systems afford new and efficient methods in rail transit
Date de parution : 06-2020
Ouvrage de 418 p.
19x23.3 cm
Thème de Robot Systems for Rail Transit Applications :
Mots-clés :
AGV; Arm dynamics; Artificial neural networks; Assembly robot; Autonomousrail rapid transit; Bogie; Channel robot; Collaboration mode; Collaborative robot; Collision detection; Communication system; Communication; Convolutional neural network; Data collection; Deep learning; Dispatch; Fault diagnosis; Feature extraction; Hand-eye system; Hardware structure; Human–robot collaboration; Human–robot interaction; Inspection robot; Inspection; Main components; Maintenance; Manufacturing; Navigation system; Navigation; Pan/tilt; Path planning; Path-planning; Pedestrian detection algorithm; Positioning; Power management; Rail transit maintenance; Rail transit manufacturing environment; Rail transit; Railway; Road traffic interaction system; Scheduling management system; Target detection; Target tracking; Task scheduling; TEDS; Trajectory planning; Unmanned aerial vehicle