Lars Henning Kayser
About Lars Henning Kayser
Lars Henning Kayser is an Applied Robotics Scientist at PickNik, where he has worked since 2018. He holds a Master of Science in Computer Science from the University of Hamburg, specializing in motion planning and machine learning.
Work at PickNik
Lars Henning Kayser has been employed at PickNik as an Applied Robotics Scientist since 2018. In this role, he focuses on the development and implementation of advanced robotics technologies. His work involves leveraging his expertise in motion planning and machine learning to enhance the capabilities of autonomous robots. Kayser's contributions to the team have been significant in addressing complex scenarios involving unstable dynamics.
Education and Expertise
Lars Henning Kayser holds a Master of Science in Computer Science from the University of Hamburg, where he specialized in motion planning and machine learning. He also earned a Bachelor of Science in Computer Science, focusing on distributed systems. His academic background provides a strong foundation for his expertise in areas such as motion planning, trajectory optimization, and 3D perception.
Background
Kayser's background includes extensive experience with autonomous robots, particularly in scenarios that involve unstable dynamics, such as liquid pouring and object manipulation. His practical knowledge in these areas complements his academic training, allowing him to tackle real-world challenges in robotics effectively.
Achievements
Lars Henning Kayser was a participant in the winning team of the IROS 2018 Mobile Manipulation Hackathon. This achievement highlights his skills in collaborative robotics and showcases his ability to apply theoretical knowledge in competitive environments. His involvement in such events reflects his commitment to advancing the field of robotics.