Visual Servo Control

By Roel S. Pieters. 2012

498 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c792aeae21e504388deb5d7d7f1b1fcdcae67cc6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Sergey Levine
2. Cordelia Schmid
3. Abhinav Kumar Gupta
4. Andrew Zisserman
5. Yoshua Bengio
6. Jitendra Malik
7. Yi Yang
8. Trevor Darrell

Citations in the corpus

• Sim2Real View Invariant Visual Servoing by Recurrent Control (2017, background): “Visual servoing has a long history in computer vision and robotics [6, 15].”
• Instruction-driven history-aware policies for robotic manipulations (2022, methodology): “While earlier methods for solving robotics tasks such as visual servoing [21, 22] were designed manually, the need to cope with large variations of objects and environments led to the emergence of learning-based neural approaches [23, 24, 25, 26].”
• A Fully-Autonomous Aerial Robot for Search and Rescue Applications in Indoor Environments using Learning-Based Techniques (2018, methodology): “)+ represents the pseudoinverse operation as defined in [11].”
• Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control (2018, background): “Visual servoing has a long history in computer vision and robotics [6, 15].”