Adaptive Active Visual Servoing of Nonholonomic Mobile Robots
By Yongchun Fang, Xi Liu, Xuebo Zhang. 2012
134 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Media Technology
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In Aerospace Engineering
In Computer Vision and Pattern Recognition
In Media Technology
Citations in the corpus
- A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation (2016, neutral): “n relies on the accuracy of the sensor and the controller of the manipulator. Visual-feedback control loop increases the overall accuracy of the system. Now it is widely used in mobile robot control (Fang et al., 2012; Liu et al., 2013a), UAV control (Lee et al., 2012), target tracking (Cr´etual and”
- Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not (2016, methodology): “Now it is widely used in mobile robot control (Fang et al., 2012; Liu et al., 2013), UAV control (Lee et al., 2012), target tracking (Cr´etual and Chaumette, 2001a; Altu˘g et al., 2005), and robot manipulation (Ruf and Horaud, 1999).”