Visual servo control. I. Basic approaches
By François Chaumette, Seth A. Hutchinson. IEEE robotics & automation magazine, 2006
2,015 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/35812c1ee865369042ca1c35b44d9670c959075a
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- Fei Xia
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Citations in the corpus
- Model-Less Feedback Control of Continuum Manipulators in Constrained Environments (2014, methodology): “When line-of-sight is not an issue and a calibrated camera is available, techniques in position-based visual-servoing can be used [40], [41].”
- Sim2Real View Invariant Visual Servoing by Recurrent Control (2017, methodology): “uate the effectiveness of our system in several real-world servoing scenarios both quantitatively and qualitatively. 2. Related Work Visual servoing has a long history in computer vision and robotics [6, 15]. Our proposed visual servo2 Figure 3. We use randomized simulated scenes, as well as randomi”
- Deep Visual MPC-Policy Learning for Navigation (2019, background): “Visual Servoing is the task of controlling an agent’s motion so as to minimize the difference between a goal and a current image (or image features) [5, 9, 10, 11, 12].”
- A synthetic-vision based steering approach for crowd simulation (2010, background): “Finally, visual servoing is an active topic in the field of Robotics [Chaumette and Hutchinson 2006].”
- Dual arm manipulation - A survey (2012, methodology): “The concept and the techniques of visual servoing have been described by Hutchinson in 1996 [164] and more recently by Chaumette in [165] [166].”
- Bootstrapping bilinear models of Simple Vehicles (2015, background): “…with traditional visual servoing techniques that are specific to that particular sensory modality, such as those based on feature extraction (Chaumette and Hutchinson, 2006) and more recent approaches that work with the raw pixel luminance (Collewet, Marchand, and Chaumette, 2008; Caron,…”