Papers
257
Total Citations
16,421
H-Index
52
About
Peter Corke is a distinguished robotics researcher whose work spans visual servo control, robot vision, autonomous systems, and deep learning for robotics. Based at Queensland University of Technology, he has made foundational contributions that have shaped modern robotics research and education worldwide. Corke's most celebrated achievement is his 1996 tutorial on visual servo control (3,499 citations), which became the definitive reference for researchers seeking to understand how robots use visual feedback to guide manipulation — a topic he first surveyed comprehensively in 1993. Complementing this, his partitioned approach to image-based visual servoing (2001) addressed critical practical limitations of earlier methods. Equally influential is his **Robotics Toolbox for MATLAB** (838 citations), a widely adopted open-source software package that has equipped generations of students and engineers with accessible tools for kinematic modeling and trajectory planning. His textbook *Robotics, Vision and Control* — cited in both its 2011 and 2017 editions — further cements his role as a premier robotics educator. Beyond classical robotics, Corke has extended his influence into UAV control, visual place recognition for long-term autonomy, and critically evaluating deep learning's potential in robotics. With thousands of citations across multiple decades, his work remains essential reading for any serious robotics researcher.
Research Focus
Key Achievements
Top Papers
- 1A tutorial on visual servo control3,499 citations · 1996
- 2Visual Place Recognition: A Survey1,071 citations · 2015
- 3A robotics toolbox for MATLAB838 citations · 1996
- 4Robotics, Vision and Control671 citations · 2011
- 5Modelling and control of a large quadrotor robot514 citations · 2010
- 6The limits and potentials of deep learning for robotics513 citations · 2018
- 7Robotics, Vision and Control491 citations · 2017
- 8Learning robust, real-time, reactive robotic grasping474 citations · 2019
- 9A new partitioned approach to image-based visual servo control464 citations · 2001
- 10VISUAL CONTROL OF ROBOT MANIPULATORS – A REVIEW302 citations · 1993