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MaP Robotics, Vision, and Controls Talks
Last Updated: 2026-06-03 00:14:14
Abstract
This course features a curated series of biweekly research talks by leading international researchers in robotics, computer vision, and control. Topics include soft and bio-inspired robotics, humanoids, robot learning, foundation models, perception, and autonomous control. Attendance is mandatory and monitored.
Objective
After completing this course, students will be able to: - Identify major contemporary research directions in robotics, vision, and control. - Critically assess research contributions presented by leading experts in the field. - Relate methods from perception, learning, control, and embodiment to real robotic systems. - Engage in informed technical discussions on current and emerging robotics research topics.
Content
The course features invited research talks by internationally recognized leaders from academia and industry. Topics include, but are not limited to: soft and bio-inspired robotics, humanoid locomotion and manipulation, robot foundation models, multimodal perception, self-supervised and embodied learning, autonomous systems, and advanced control methods. Talks are complemented by discussion sessions that allow students to interact directly with the speakers and reflect on broader research implications.
Resources
Lecture Notes
Slides, abstracts, and recordings of the lectures are available at:https://robotics-talks.com/
Literature
No fixed textbook. Relevant research papers and references are provided by the speakers and linked on the course website.
General Information
- Language
- English
- Levels
- DR
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
MaP Robotics, Vision, and Controls Talks
Lectures from 16.15 - 17.30.
|
|
1 h weekly |
Offered In
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Doctorate Health Sciences and Technology (More Information at: )
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Doctorate Architecture (More Information at: )
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Doctorate Computer Science (More Information at: )
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Doctorate Information Technology and Electrical Engineering (A minimum of 12 ECTS credit points must be obtained during doctoral studies (also see sub-categories for details) More Information at )
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Subject Specialisation (The courses on offer below are but a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)
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Doctorate Mechanical and Process Engineering (More Information at: )
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Doctorate Materials Science (Further information at: )
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Doctorate Environmental Systems Sciences (More Information at: )
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