Research interest
On UvA experts in artificial intelligence page my research interest is summarized as follows:
Arnoud Visser is a lecturer in Computer Science. His areas of expertise are artificial intelligence and robotics.
The focus of his research is on the cooperation of robot teams, especially in the context of the RoboCup competitions.
Arnoud Visser is a staff-member of Computer Vision research-group. His publications can be found at separate page. His research C.V. summarize some of his work.
Current projects
- Planetary Robotics
- Meaningful Control of Autonomous Systems
- RoboCup Rescue
- Dutch Nao Team
Current location (2022-)
Intelligent Robotics Lab L0.01
Science park 900
1098 XH Amsterdam
Nederland
4°9543' eastern longitude, 52°3546' northern latitude
Previous Activities
Member Decis-Lab
Previous projects
- Mapping Nature
- UvA@work
- UvA@home
- Micro Arial Vehicles
- Accompany
- SI4MS
- Smart Inside
- Interactive Collaborative Information Systems
- Virtual Laboratory
- Dutch Aibo Team
- 'Rekeningrijden'
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On-line plan-generation for the MARIE-robot
-
WalkGuide; a demonstration of mobility applications for a handheld computer
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Virtual Traffic Lab
Finished Activities
- @
See A. Visser's Curriculum Vitae.
The top-10 list of Dutch robotic researchers according to Google Scholar (last accessed 2020):
- Robert Babuska
- Maarten Steinbuch
- Kees van Hee
- Martijn Wisse
- Stefano Stramigioli
- Eldert van Henten
- Jan Broenink
- Jens Kober
- Manual Mazo Jr.
- Arnoud Visser
I should monitor when Rodney Brooks will pass Alan Turing.
KNAW's Narcis lists me in the top-10 for both Kunstmatige Intelligentie and Robotica. Top-20 for Artificial Intelligence, Top-30 for Robotics.
References:
- @
See A. Visser's publication list.
Trivia:
After Leonardo da Vinci's heir Francesco Melzi collated and published Leonardo's advice on creativity and inventions in the Codex Urbinas called 'Tratatto della Pittura' (Treatise on Painting).
Leonardo had 11 insights, the 5th advice (find a system of reasoning or discussion within himself) is really applicable to a scientific labbook:
"Pay constant attention to the world around you and, as Leonardo says, find a method for digesting and learning from it.
Take notes and look for patterns. Think it out. Engage deeply"
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