Portrait of Yannick Burkhardt

Hey, I'm Yannick.

I like robots.
Check out my projects

About Me

For as long as I can remember, solving complex problems has fascinated me. My interest in mathematics, mechanics, and informatics led me to my bachelor's studies in Mechatronics and Information Technology. When I learned about robotics, I fell in love with its versatility, complexity and challenges. That's why I shifted my focus to software development, chose my master's program Robotics, Cognition, Intelligence, and relocated to Munich.
At the same time, I started to work in the start-up company Agile Robots to get hands-on experience. Here, I also completed my master's thesis to enable robotic grasping by combining visual servo control with deep learning. Today, I am working as a PhD candidate in the Mobile Robotics Lab at the Technical University of Munich/ ETH Zürich under the supervision of Prof. Stefan Leutenegger. My research revolves around event-based vision and its opportunities for robot control, funded by the Munich Center for Machine Learning.
Curriculum Vitae

News

Posted
I had the great honor of giving a keynote talk today at the Multi-Modal Localization and Mapping Workshop at #ICCV25, representing the Mobile Robotics Lab and Prof. Stefan Leutenegger.
I’m now looking forward to the poster session on Tuesday afternoon, where I’ll present my latest work "SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection for SLAM".
🔗 Project Page: https://lnkd.in/dibXv--u
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Reposted
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Proud that my first paper as part of the Mobile Robotics Lab has been accepted at ICCV 2025! Thanks to my co-authors for their support. 🥳
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My Publications

A quadrotor carrying a stereo event-camera payload in flight indoors
RA-L 2026

AERO-VIS: Asynchronous Event-based Real-time Onboard Visual-Inertial SLAM

Yannick Burkhardt, Sebastián Barbas Laina, Simon Boche, Leonard Freißmuth, Stefan Leutenegger
IEEE Robotics and Automation Letters
Paper Project Page
The SuperEvent pipeline: image frames and event streams are encoded, then keypoints are detected, described and matched, with the loss backpropagated during training
ICCV 2025 Highlight Paper EvSLAM Challenge Winner (event‑only)

SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection for SLAM

Yannick Burkhardt, Simon Schaefer, Stefan Leutenegger
IEEE/CVF International Conference on Computer Vision
Paper Project Page
Two photos of a robot arm with a multi-fingered hand grasping a red object from a pedestal
Humanoids 2024

Multi-fingered Dynamic Grasping for Unknown Objects

Yannick Burkhardt, Qian Feng, Jianxiang Feng, Karan Sharma, Zhaopeng Chen, Alois Knoll
IEEE-RAS International Conference on Humanoid Robots
Paper Video
Diagram of a vehicle-manipulator steered by joystick input, showing the manipulator's reachable area next to an obstacle
ISIE 2020

Shared-Control Concepts for Large Vehicle-Manipulators

Balint Varga, Yannick Burkhardt, Stefan Schwab, Sören Hohmann
IEEE 29th International Symposium on Industrial Electronics
Paper

Other Projects

Jerk, acceleration and velocity profiles of a time-optimal trajectory, split into seven phases

Long Term Planner

Computationally fast and time-optimal trajectory planner with continuous acceleration profile.
GitHub
A two-dimensional planning scene with red circular obstacles, a blue start position and a green goal

Reinforcement Planner

Dynamic path planning using Reinforcement Learning.
GitHub