A half day workshop to be held on the morning of Tuesday 26 May in Ballroom 6C.
Table of Contents
The ICRA 2015 workshops and tutorials page is here.
The workshop was a great success, 320 people registered and it was certainly a very big crowd. The presented papers were excellent and set the scene well for a great and lively discussion with the panel and audience, thanks to all who contributed. We will try to synthesise some conclusions from the discussions and post them here soon.
4. Natural vision: Pillage or Pass Over? Michael Milford, QUT
Robotics has a long history of drawing inspiration to varying degrees from nature. Nature is, after all, the ultimate proof of concept of amazing autonomous agents doing incredible things which we would all like our robots to emulate. I will discuss some particularly interesting ways in which robotic vision and natural vision systems are similar and divergent, both from an algorithmic and hardware perspective, in order to kickstart discussion on the question: what do we want our robot vision systems to do?
Photos from the day
Special thanks to our anonymous photographer (you know who you are!)
|8:30-8:40||Welcome and motivation (Greg and Peter)|
Invited talks: the case for and against vision
Open call talks: Audacious ideas for robotic vision
|10:30-12:00||Panel: an agenda for progressing robotic vision, what can we do, what's still to do?|
Short URL for this page is http://tiny.cc/robovisionws
- good questions
- a constructive attitude
About the workshop
The objectives of the workshop are therefore to:
- Inform the robotics community about the state of the art in computer vision (they are doing some awesome stuff)
- Share experiences and ideas about what's good, and what's not, with current robotic vision
- Run a panel discussion to flesh out a roadmap of the challenges and open questions for computer vision, from a robotics perspective.
The technologies of robotics and computer vision are each over 50 years old. Once upon a time they were closely related and investigated, separately and together, in AI labs around the world. Vision has always been a hard problem, and early roboticists struggled to make vision work using the slow computers of the day — particularly for metric problems like understanding the geometry of the world. In the 1990s affordable laser rangefinders entered the scene and roboticists adopted them with enthusiasm, delighted with the metric information they could provide. Since that time laser-based perception has come to dominate robotics, while processing images from databases, not from robots, has come to dominate computer vision. What happened to that early partnership between robotics and vision? Is it forever broken, or is now the time to reconsider vision as an effective sensor for robotics?
Corke’s plenary talk at IROS14 was concerned with the split between the robotics and computer vision communities. Roboticists have largely adopted LIDAR and RGBD sensors, whereas the computer vision community is content to process images from non-real time sources such as databases. Even though “computer vision” is a popular keyword in robotics conferences, the converse is not true, there are very few robotics papers at computer vision conferences. A show of hands during the plenary indicated less than 20 out of 1600 IROS delegates attend mainstream computer vision conferences such as ICCV or CVPR. There is much to be gained from the use of computer vision as the primary sensing modality for robots. This discipline split, and how to rectify it, seemed to have touched a nerve, and I was approached by many people who shared the belief that it was an issue that should be rectified. This workshop will work to bridge this gap by presenting state-of-the-art techniques from the computer vision community to the robotics community, and a panel discussion to flesh out a roadmap of the challenges and open questions for computer vision, from a robotics perspective.
Similar conversations are going with the relationship between AI research and robotics, how to close the gap between the two communities. A recent AAAI workshop discussed this and its website also includes slides of talks, they also developed a position paper.
The workshop is organized by Peter Corke (Queensland University of Technology) and Tom Drummond (Monash University), both with the Australian Centre for Robotic Vision, and Greg Hager (Johns Hopkins University).