Survey on Visual Servoing for Manipulation

By Danica Kragic, Henrik Iskov Christensen. 2002

274 citations recorded by the source corpus.

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Citations in the corpus

Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection (2016, methodology): “Another related area to our method is visual servoing, which addresses moving a camera or end-effector to a desired pose using visual feedback (Kragic & Christensen, 2002).”
Robustness via Retrying: Closed-Loop Robotic Manipulation with Self-Supervised Learning (2018, background): “A related problem is visual servoing, where visual feedback is used to reach a goal configuration [14, 15, 16].”
Deep-learning in Mobile Robotics - from Perception to Control Systems: A Survey on Why and Why not (2016, methodology): “For conventional robotics researchers, the review about deep-learning (LeCun et al., 2015) (in aspects of data-mining or image processing) written by Yann LeCun, Yoshua Ben-gio, and Geoffrey Hinton is highly recommended for further analysis and comparison.”
Learning Hand-Eye Coordination for Robotic Grasping with Large-Scale Data Collection (2016, methodology): “Another related area is visual servoing, which addresses moving a camera or end-effector to a desired pose using visual feedback [Kragic and Christensen, 2002, Siciliano and Khatib, 2007].”
Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach (2018, methodology): “2) Closed Loop Grasping: To perform closed-loop grasping, we implement a Position Based Visual Servoing (PBVS) controller [14].”
Learning robust, real-time, reactive robotic grasping (2019, methodology): “To perform closed-loop grasping, we implement a position-based visual servoing (PBVS) controller (Kragic and Christensen, 2002).”
Dual arm manipulation - A survey (2012, background): “These have been a norm for a long time, especially in the 1980's and 1990's, when a lot of initial work on visual servoing was developed [7].”
Using Near-Field Stereo Vision for Robotic Grasping in Cluttered Environments (2010, background): “Although stereo cameras and laser rangefinders have previously been mounted on end-effectors [19, 12], the purpose of such sensors has thus far been only to either obtain 3D positions for visual features of known objects, or to create models of unknown objects.”