Robohub.org
 

Robots in Depth with Peter Corke


by
16 February 2018



share this:


In this episode of Robots in Depth, Per Sjöborg speaks with Peter Corke, distinguished professor of robotic vision from Queensland University of Technology, and Director of the ARC Centre of Excellence for Robotic Vision. Peter is well known for his work in computer vision and has written one of the books that defines the area. He talks about how serendipity made him build a checkers playing robot and then move on to robotics and machine vision. We get to hear about how early experiments with “Blob Vision” got him interested in analyzing images and especially moving images, and his long and interesting journey giving robots eyes to see the world.

The interview ends with Peter adding a new item to the CV, fashion model, when he shows us the ICRA 2018 T-shirt!




Robots in Depth is a new video series featuring interviews with researchers, entrepreneurs, VC investors, and policy makers in robotics, hosted by Per Sjöborg.
Robots in Depth is a new video series featuring interviews with researchers, entrepreneurs, VC investors, and policy makers in robotics, hosted by Per Sjöborg.





Related posts :



Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.

CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object

  11 Nov 2025
A new reinforcement learning framework enables dexterous robot hands to grasp diverse objects with human-like robustness and adaptability—using only a single camera.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


 












©2025.05 - Association for the Understanding of Artificial Intelligence