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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
88
Citations
37278
World Ranking
672
National Ranking
15

Electronics and Electrical Engineering

D-Index
88
Citations
37155
World Ranking
317
National Ranking
11

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award
  • 2019 - Fellow of the Australian Academy of Science
  • 2008 - IEEE Fellow For contributions to visual-based robot control and its applications to field robotics

Overview

Peter Corke is affiliated with Queensland University of Technology in Australia. Their research spans the fields of Engineering and Computer Science, with a significant focus on control and automation within robotics.

The main fields of study for Peter Corke include:

  • Engineering
  • Computer Science

Within these fields, their research covers subfields such as:

  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Aerospace Engineering
  • Biomedical Engineering

The core topics in Peter Corke's work focus on various aspects of robotics and automation, including:

  • Robot Manipulation and Learning
  • Robotic Mechanisms and Dynamics
  • Robotics and Sensor-Based Localization
  • Robotic Path Planning Algorithms
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Reinforcement Learning in Robotics

Peter Corke has contributed multiple recent papers on robotics and related technologies. Notable publications include:

  • Semantics for Robotic Mapping, Perception and Interaction: A Survey (2020), published in Foundations and Trends in Robotics
  • Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review (2022), published in ACM Transactions on Human-Robot Interaction
  • A Survey on Terrain Traversability Analysis for Autonomous Ground Vehicles: Methods, Sensors, and Challenges (2022), published in Field Robotics
  • NEO: A Novel Expeditious Optimisation Algorithm for Reactive Motion Control of Manipulators (2021), published in IEEE Robotics and Automation Letters
  • Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends (2021), published in IEEE Access

Frequent co-authors who have collaborated with Peter Corke include:

  • Witold Jachimczyk
  • Remo Pillat
  • Jesse Haviland
  • Akansel Cosgun
  • Feras Dayoub

The common venues where Peter Corke has published work are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • Journal of Field Robotics
  • IEEE Robotics & Automation Magazine
  • Foundations and Trends in Robotics

Peter Corke has also authored several books published by Springer Nature and Springer Science+Business Media, including:

  • Robotics, Vision and Control (2023)
  • Robotics and Control (2021)
  • Robotic Vision (2021)
  • Computer Vision Systems (2023)

Awards received by Peter Corke include:

  • Fellow of the Australian Academy of Science (2019)
  • IEEE Fellow (2008), for contributions to visual-based robot control and its applications to field robotics

Best Publications

  • A tutorial on visual servo control

    S. Hutchinson;G.D. Hager;P.I. Corke

  • Robotics, Vision and Control: Fundamental Algorithms in MATLAB

    Peter Corke

  • Multirotor Aerial Vehicles: Modeling, Estimation, and Control of Quadrotor

    R. Mahony;V. Kumar;P. Corke

  • A robotics toolbox for MATLAB

    P.I. Corke

  • Visual Place Recognition: A Survey

    Stephanie Lowry;Niko Sunderhauf;Paul Newman;John J. Leonard

  • Data collection, storage, and retrieval with an underwater sensor network

    I. Vasilescu;K. Kotay;D. Rus;M. Dunbabin

  • Modelling and control of a large quadrotor robot

    Paul Pounds;Robert Mahony;Peter Corke

  • Environmental Wireless Sensor Networks

    Peter Corke;Tim Wark;Raja Jurdak;Wen Hu

  • A new partitioned approach to image-based visual servo control

    P.I. Corke;S.A. Hutchinson

  • The limits and potentials of deep learning for robotics

    Niko Sünderhauf;Oliver Brock;Walter J. Scheirer;Raia Hadsell

  • VISUAL CONTROL OF ROBOT MANIPULATORS – A REVIEW

    Peter I. Corke

  • TRAFFIC CAMERA MONITORS VEHICLE MOVEMENT AND PREDICTS WHEN VEHICLE WILL BE IN POSITION TO ACQUIRE IMAGE

    Auty Glen William;Corke Peter Ian;Dunn Paul Alexander;Macintyre Ian Barry

  • Transforming Agriculture through Pervasive Wireless Sensor Networks

    T. Wark;P. Corke;P. Sikka;L. Klingbeil

  • Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach

    Douglas Morrison;Juxi Leitner;Peter Corke

  • Visual Control of Robots: High-Performance Visual Servoing

    Peter I. Corke

  • Robotics, Vision and Control

    Peter Corke

  • Monitoring Animal Behaviour and Environmental Interactions Using Wireless Sensor Networks, GPS Collars and Satellite Remote Sensing

    Rebecca N. Handcock;Dave L. Swain;Greg J. Bishop-Hurley;Kym P. Patison

  • Modelling and control of a quad-rotor robot

    Paul Pounds;Robert Mahony;Peter Ian Corke

  • Learning robust, real-time, reactive robotic grasping:

    Douglas Morrison;Peter Corke;Jürgen Leitner

  • An Introduction to Inertial and Visual Sensing

    Peter Corke;Jorge Lobo;Jorge Dias

  • Brief Nonlinear control of the Reaction Wheel Pendulum

    Mark W. Spong;Peter Corke;Rogelio Lozano

Frequent Co-Authors

Ben Upcroft
Ben Upcroft Queensland University of Technology
Robert Mahony
Robert Mahony Australian National University
Michael Milford
Michael Milford Queensland University of Technology
Wen Hu
Wen Hu University of New South Wales
Mohammed Bennamoun
Mohammed Bennamoun University of Western Australia
Niko Sünderhauf
Niko Sünderhauf Queensland University of Technology
François Chaumette
François Chaumette University of Rennes
Seth Hutchinson
Seth Hutchinson University of Illinois at Urbana-Champaign
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation

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