PhD (The University of Melbourne)
Peter is a robotics researcher and educator. He is the distinguished professor of robotic vision at Queensland University of Technology, director of the ARC Centre of Excellence for Robotic Vision and Chief Scientist of Dorabot. His research is concerned with enabling robots to see, and the application of robots to mining, agriculture and environmental monitoring. He created widely used open-source software for teaching and research, wrote the best selling textbook “Robotics, Vision, and Control”, created several MOOCs and the Robot Academy, and has won national and international recognition for teaching including 2017 Australian University Teacher of the Year. He is a fellow of the IEEE, the Australian Academy of Technology and Engineering, the Australian Academy of Science; former editor-in-chief of the IEEE Robotics & Automation magazine; founding editor of the Journal of Field Robotics; founding multi-media editor and executive editorial board member of the International Journal of Robotics Research; member of the editorial advisory board of the Springer Tracts on Advanced Robotics series; recipient of the Qantas/Rolls-Royce and Australian Engineering Excellence awards; and has held visiting positions at Oxford, University of Illinois, Carnegie-Mellon University and University of Pennsylvania. He received his undergraduate and masters degrees in electrical engineering and PhD from the University of Melbourne.
Area of research: Robotics I am interested in how robots can use the sense of vision to accomplish a broad range of tasks. These might range from recognizing places or text in the world to dynamic tasks. An example of a visual dynamic task is something like hand-eye coordination, and for a robot it might be visual control of flying or driving or manipulation of objects. Why vision? Nature has invented the eye ten different times so it must be an effective sensor for doing a diverse range of tasks. Vision sensors and computing power are getting cheaper and cheaper. Now is the time to be doing vision for robotics! Some specific topics of interest include:
- The use of visual information for controlling robot motion, a technique known as visual servoing.
- Very wide field-of-view cameras based on fisheye lens and lens/mirror (catadioptric) optical systems.
- Optical flow, how images from a moving robot can be used to infer the world’s 3D structure and the robot’s motion
- Computer architectures for implementing computer vision algorithms in real time
- Stereo vision, using information from one or more cameras to create the 3D world structure.
- The combination with robotics to create mobile sensing systems
- Vision processing within networks of cameras.
- Super-fast hand-eye coordination
Select keynote talks
- The International Symposium on Robotics Research, ISRR 2019 Hanoi Vietnam, 2019
- Emerging to Converging Technology, Gordon Institute of Business Science, University of Pretoria (2019)
- Royal Australasian College of Physicians conference (RACP18), 2018
- Commonwealth Science Conference, Royal Society, Singapore, June 2017
- Canadian Robotic Vision Conference (CRV17), Edmonton, May 2017.
- MATLAB Expo, San Jose, Nov 2016
- Royal Society, London, Nov 2015
- Edinburgh Centre for Robotics, annual conference, Nov 2015;
- International Forum on Engineering Science and Technol- ogy Development Strategy: Intelligent Systems – Cities, Information, and Robots, Shenzen, China, April 2015
- IROS, Chicago, 2014.
- Int. Conf. Mechatronics and Automation (ICMA), China, August 2010.
- Public lecture on robotics at the 30th Oporto International Film Festival (FantasPorto), March 2010.
- 2nd International Symposium on Information and Robot Technology (ISIRT), Tokyo, March 2008.
- Digital Image Computing: Techniques and Applications, Canberra, December 2008.
- TTI/Vanguard NextGens Technologies, Santa Monica, December 2007.
- Safety, Security, and Rescue Robotics (SSRR2007), Rome September 2007.
- Technical advisory group: Australian Space Agency (2020-)
- Advisory board: Queensland Robotics Cluster; (2020-)
- Chief Scientist: Dorabot, Shenzhen, China (2019-)
- Scientific advisor: LYRO Robotics, Australia (2019-)
- Advisory board: The Applied Artificial Intelligence Institute (A2I2), Deakin University, Australia (2019-)
- Advisory board: Khalifa University Center for Autonomous Robotic Systems, Abu Dhabi, UAE (2018-)
- Consultant: MathWorks Inc., Natick, MA, USA (2014-)
Awards and recognitions
- 2019: Fellow of the Australian Academy of Science
- 2017: Fellow of the Australian Academy of Technology and Engineering, Australian University Teacher of the year.
- 2016: Eureka Prize Finalist (research and innovation in environmental science), COTSBot team.
- 2015: QS-Wharton: Engineering & IT award (gold); Teaching Delivery award (silver).
- 2015: Australian Office for Learning and Teaching Citation for Outstanding Contributions to Student Learning.
- May 2009: Award in Research and Development for virtual fencing technology, Australian Information Industry Association, Queensland division
- 2008: Award for Excellence in Physical Sciences and Mathematics for Springer Handbook of Robotics, Professional and Scholarly Publishing Division, Association of American Publishers, Inc.
- June 2008: Finalist (one of five) for the IEEE Robotics and Automation Society Invention & Entrepreneurship Award (LHD project team)
- Dec 2007: Fellow of IEEE
- 2006: Australian Engineering Excellence award, Engineers Australia (Starbug project team)
- 2006: Innovation award, Engineers Australia, Queensland Engineering Excellence Awards (Starbug project team)
- 1999: Overseas Travel Fellowship, Australian Centre for Field Robotics
- 1996: Finalist (one of five) for the King-Sun Fu Memorial Best Transactions Paper Award, S. Hutchinson, G. Hager, and P. Corke, “A Tutorial on Visual Servo Control”, IEEE Trans. on Robotics and Automation, Vol. 12, No. 5, Oct. 1996, pp. 651-670
- 1995: QANTAS Rolls-Royce Engineering Excellence Award (SafeTCam project team)
- 1994: The Honda Award for Best Technology Presentation at ISATA (Aachen).
- 2010-: Professor, QUT
- 2008: Transformational Capability Leader; Sensor Networks, CSIRO
- 2007 – 2008: Research theme leader; Sensor Networks, CSIRO
- 2004 – 2007: Research Director, Autonomous Systems Laboratory, CSIRO ICT Centre
- 2003: Senior Principal Research Scientist, CSIRO Division of Manufacturing and Infrastructure Technology
- 1995: Principal Research Scientist, CSIRO Division of Manufacturing Science and Technology
- 1990: Senior Research Scientist, CSIRO Division of Manufacturing Technology
- 1989: Research Scientist, CSIRO Division of Manufacturing Technology
- 1984: Experimental Scientist, CSIRO Division of Manufacturing Technology
- 1982 – 1983: Lecturer in control and computer architecture, Department of Electrical and Electronic Engineering, University of Melbourne.
- 1981:Graduate Research Assistant, Department of Electrical and Electronic Engineering, University of Melbourne. Also held visiting positions at
- 2009,12,13, 15: Mobile Robotics Group at Oxford University.
- 2003: Robotics Institute at Carnegie-Mellon University
- 1999: U. Illinois at Urbana-Champaign
- 1988-1989: the GRASP laboratory at U.Pennsylvania
Erdos number (3)
- Erdos -> Goldberg -> Camtepe -> Corke
- Erdos -> Subbarao -> Vidyasagar -> (Spong|Hutchinson) -> Corke
- Erdos -> Noga Alon -> Erik Demain -> Daniela Rus -> Corke
- Google Scholar profile
- QUT Robot Academy
- Australian Centre for Robotic Vision
- Peter on Wikipedia
- Visual servoing background
- Random famous roboticists
Projects (Chief investigator)
- “Dark“ Visual odometry for drone Navigation
- Australian Robotic Inspection and Asset Management Hub
- Cobot contact tasks through multi-sensory deep learning
- Deformable/Compliant Object Manipulation with Tactile Sensing
- High-speed robotic waste separation
- High-speed vision controlled motion of flexible planar robotic arms
- Manipulation in Nature
- Mobile Manipulation with Logistics
- Multiple Manipulator Cooperation and Coordination
- Off-road Mobile Manipulation
- Outdoor litter collection
- Real-time semantic perception for autonomous field robotics
- Robotic maintenance of equipment
- Robust perception in dusty environments for autonomous drones
- Submarine Manipulation
- Tactile Sensing
- Training Centre for Collaborative Robotics in Advanced Manufacturing
- Very high-speed dynamic motion planning for arm robots
- ACRV Picking Benchmark
- Amazon Picking Challenge (2016)
- Amazon Picking Challenge 2017
- Antarctic Science for a Sustainable Future
- AOS: Kelpie
- Deep Learning for Grasping and Manipulation
- Novel autonomous robotic weed control to maximise agricultural productivity
- Rheinmetall Defence Australia: Advanced Terrain Detection (ATD)
- Robotic knee arthroscopy
- Robotic Vertical Farming Systems
- Semi-automated power pole inspection