Dr. C. (Chris) Pek
Dr. C. (Chris) Pek
Profile
Biography
I am an Assistant Professor in the department of Cognitive Robotics (CoR) at Delft University of Technology (TUD) since 2023. Before joining TUD, I was a postdoctoral researcher at KTH Royal Institute of Technology in Sweden and a PhD student at the Technical University of Munich. During my PhD, I was working as a research assistant in the motion planning group at the BMW Group Autonomous Driving Department.
Expertise
My work focuses on ensuring high degrees of safety, autonomy, and robustness of robotic systems that operate in complex environments with and around humans. Our algorithms will enable new robotic solutions to major societal problems, such as enabling a sustainable food production. I follow a unique research approach at the intersection of `control theory`, `formal methods`, `machine learning techniques` and `human-robot-interaction`. My research has been applied to autonomous vehicles, drones, (mobile) manipulators and reinforcement learning agents.
Do you have questions, would like to learn more about our research or talk about potential collaborations? I am happy to talk to you, just reach out to me via mail.
Expertise
Publications
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2023
Aligning Human Preferences with Baseline Objectives in Reinforcement Learning
Daniel Marta / Simon Holk / Christian Pek / Jana Tumova / Iolanda Leite
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2023
Belief Control Barrier Functions for Risk-Aware Control
Matti Vahs / Christian Pek / Jana Tumova
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2023
Generating Scenarios from High-Level Specifications for Object Rearrangement Tasks
Sanne Van Waveren / Christian Pek / Iolanda Leite / Jana Tumova / Danica Kragic
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2023
Increasing perceived safety in motion planning for human-drone interaction
Sanne Van Waveren / Rasmus Rudling / Iolanda Leite / Patric Jensfelt / Christian Pek
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2023
Risk-aware Spatio-temporal Logic Planning in Gaussian Belief Spaces
Matti Vahs / Christian Pek / Jana Tumova
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Courses 2023
Prizes
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2022
Best paper award IV 2022
Best paper award for our paper "Foresee the unseen: Sequential reasoning about hidden obstacles for safe driving" at the 33rd IEEE Intelligent
Vehicles Symposium co-authored with José Manuel Gaspar Sánchez, Truls Nyberg, Jana Tumova, and Martin Törngren.
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2019-6
Robotics: Science and Systems (RSS) Pioneer
The goal of RSS Pioneers is to bring together a cohort of the world’s top early career researchers to foster creativity and collaborations surrounding challenges in all areas of robotics.
Ancillary activities
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2023-05-01 - 2025-04-30