"From SLAM to Spatial AI" - Andrew Davison

From SLAM to Spatial AI: Andrew Davison (Imperial College London)
Abstract: To enable the next generation of smart robots and devices which can truly interact with their environments, Simultaneous Localisation and Mapping (SLAM) will progressively develop into a general real-time geometric and semantic `Spatial AI' perception capability. I will give many examples from our work on gradually increasing visual SLAM capability over the years. However, much research must still be done to achieve true Spatial AI performance. A key issue is how estimation and machine learning components can be used and trained together as we continue to search for the best long-term scene representations to enable intelligent interaction. Further, to enable the performance and efficiency required by real products, computer vision algorithms must be developed together with the sensors and processors which form full systems, and I will cover research on vision algorithms for non-standard visual sensors and graph-based computing architectures.
Biography: Andrew Davison is Professor of Robot Vision and Director of the Dyson Robotics Laboratory at Imperial College London. His long-term research focus is on SLAM (Simultaneous Localisation and Mapping) and its evolution towards general `Spatial AI': computer vision algorithms which enable robots and other artificial devices to map, localise within and ultimately understand and interact with the 3D spaces around them. With his research group and collaborators he has consistently developed and demonstrated breakthrough systems, including MonoSLAM, KinectFusion, SLAM++ and CodeSLAM, and recent prizes include Best Paper at ECCV 2016 and Best Paper Honourable Mention at CVPR 2018. He has also had strong involvement in taking this technology into real applications, in particular through his work with Dyson on the design of the visual mapping system inside the Dyson 360 Eye robot vacuum cleaner and as co-founder of applied SLAM start-up SLAMcore. He was elected Fellow of the Royal Academy of Engineering in 2017.
“Robotics Today - A series of technical talks” is a new virtual robotics seminar series. The goal of the series is to bring the robotics community together during these challenging times.The seminars are scheduled on Fridays at 1PM EDT (10AM PDT) are open to the public. The format of the seminar consists of a technical talk live captioned and streamed via Web (roboticstoday.github.io/watch...) and Twitter (@RoboticsSeminar), followed by an interactive discussion between the speaker and a panel of faculty, postdocs, and students that will moderate audience questions.
Please visit our website: roboticstoday.github.io for more information as well as Andy's answers to a few questions we didn't get a chance to cover during the talk.
Website: roboticstoday.github.io/
Twitter: / roboticsseminar
Calendar: calendar.google.com/calendar/...
OUTLINE:
0:00:00 Introduction
0:05:00 Andrew's Talk
1:00:22 Panel Discussion
1:23:01 Concluding Remarks

[@triplez2476]

professor's recommendation channel, great sharing~!

[@AmartyaSaikia]

thanks for sharing Professor :)

[@SiddharthJhakaas]

Great talk! Loved it!

[@mattanimation]

Super great info, thanks so much!

[@FireSymphoney]

brilliant, thanks for sharing

[@yujiewang1028]

Awesome talk

[@francescom9135]

Great talk!

[@sashu1998]

Incredible talk, really loved it

[@sweatyescape1024]

stop your bullshit cap nigga

[@ericlu9789]

Prof. John Leonard has really pointed out an issue of SLAM. There're always rumors in academics claiming SLAM is a solved problem while the robustness of algorithm seems always been confined in Lab or demo scenarios. The videos shown by Prof. Andrew Davison are all with steady camera movements. What if they encounter bumpings or sudden moves or perhaps bad illuminations? I'm not criticizing his works. They are great and inspiring. Just that it'll be cool if the robustness of SLAM can be studied. Think of what we can work on in such a direction.

[@MrMnv]

Dynamic scenes are still challenging...

[@444haluk]

Is he the one in 15:00, maaaannn, he aged like a Brittish for sure.