Jan Peters

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Jan Peters
Professor Technical University of Darmstadt | Max Planck Institute for Intelligent Systems
47 YEARS OLD
Jan Peters is a renowned full professor (W3) for Intelligent Autonomous Systems at the Computer Science Department of the Technische Universitaet Darmstadt since 2011. He is also the department head of the research department on Systems AI for Robot Learning (SAIROL) at the German Research Center for Artificial Intelligence (DFKI) since 2022. He is a founding research faculty member of the Hessian Center for Artificial Intelligence. Jan Peters has received several awards, including the Dick Volz Best 2007 US Ph.D. Thesis Runner-Up Award, the Robotics: Science & Systems - Early Career Spotlight, the INNS Young Investigator Award, and the IEEE Robotics & Automation Society's Early Career Award. He has also been awarded numerous best paper awards. Jan Peters was appointed an IEEE Fellow in 2019, an ELLIS Fellow in 2020, and an AAIA Fellow in 2021.

Despite being a faculty member at TU Darmstadt only since 2011, Jan Peters has mentored several outstanding young researchers into successful careers. These include new faculty members at leading universities in the USA, Japan, Germany, Finland, and Holland, postdoctoral scholars at top computer science departments (including MIT, CMU, and Berkeley), and young leaders at top AI companies (including Google, Facebook/Meta, Amazon, and Boston Dynamics).

Jan Peters holds multiple degrees from TU Munich, FernUni Hagen, the National University of Singapore (NUS), and the University of Southern California (USC). He has studied Computer Science, Electrical, Mechanical, and Control Engineering and holds four Master's degrees in these disciplines and a Computer Science Ph.D. from USC. Jan Peters has also conducted research at institutions such as DLR, TU Munich, the Max Planck Institute for Biological Cybernetics, the Advanced Telecommunication Research Center (ATR), and Siemens Advanced Engineering in Singapore. He has led research groups on Machine Learning for Robotics at the Max Planck Institutes for Biological Cybernetics (2007-2010) and Intelligent Systems (2010-2021).
Memorable Quotations2
Making Robots Learn!
Critical Reviews3
Jan is an excellent collaborator for projects and publications. Diligent, hard working, good team spirit, and friendly attitude. Michael Mistry
Notable Awards
Amazon Research Award – 2022
IEEE Fellow – 2019
Summary of recent tweets
Jan Peters, an AI researcher, has been tweeting about a variety of topics lately. They have shared updates on ongoing competitions and workshops related to robotics and AI. For example, they mentioned the #air_hockey_challenge competition between @alr_lab_kit and @Idiap_ch, inviting others to join their NeurIPS2023 workshop to learn more details. They also introduced LocoMuJoCo, an imitation learning benchmark focused on locomotion, which includes diverse environments and motion capture datasets. Jan Peters has also been active in sharing their own work and presentations. They talked about using LLMs (Language Learning Models) as Query Planners for Multi-Modal Data Analysis in a recent talk at AI.Day @DFKI. Additionally, they presented their work on manipulation, tactile sensing, and reinforcement learning at DFKI.AI Day in Saarbrücken. In terms of trends in AI that Jan Peters is discussing, there is a focus on competitions and benchmarks within the field. The air hockey challenge and LocoMuJoCo benchmark are examples of initiatives aimed at pushing the boundaries of AI research in specific domains. Overall, based on the analyzed tweets, it is difficult to determine a clear sentiment towards the direction of AI from Jan Peters's perspective. Their tweets primarily focus on sharing information about events, competitions, benchmarks, research papers, and articles related to AI without explicitly expressing positive or negative sentiments about the way AI is progressing. In conclusion, Jan Peters's recent Twitter feed shows their engagement with various aspects of AI research such as competitions like the air hockey challenge and benchmarks like LocoMuJoCo. However, their tweets do not provide explicit indications of whether they hold positive or negative views regarding the progress of AI.

SOME AI BOOK RECOMMENDATIONS

Jan Peters hasn't written a book yet or we didn't find any ISBN number for their book(s). However, here are some popular books in AI:

Videos Featuring Professor Jan Peters
Jan Peters - Learning new behaviors and adapting skills to new situations (SBDM 2021)

Jan Peters - Learning new behaviors and adapting skills to new situations (SBDM 2021)

CSL seminar:  Jan Peters - Inductive Biases for Robot Reinforcement Learning

CSL seminar: Jan Peters - Inductive Biases for Robot Reinforcement Learning

AIDA Excellence Lecture Series 23 - Jan Peters: Robot Learning

AIDA Excellence Lecture Series 23 - Jan Peters: Robot Learning

Reinforcement Learning — JAN PETERS

Reinforcement Learning — JAN PETERS

Advances in Data Science Conference 2020: Jan Peters

Advances in Data Science Conference 2020: Jan Peters

DLRLSS 2019 - Doing RL on Robots - Jan Peters

DLRLSS 2019 - Doing RL on Robots - Jan Peters

Jan Peters - TUM Robotics Symposium 2018

Jan Peters - TUM Robotics Symposium 2018

My journey towards robots that learn! | Jan Peters | TEDxRheinMain

My journey towards robots that learn! | Jan Peters | TEDxRheinMain

Towards Motor Skill Learning | Jan Peters | heidelberg.ai

Towards Motor Skill Learning | Jan Peters | heidelberg.ai

RI Seminar: Jan Peters : Motor Skill Learning: From Simple Skills to Table Tennis and Manipulation

RI Seminar: Jan Peters : Motor Skill Learning: From Simple Skills to Table Tennis and Manipulation

Twitter Timeline of Professor Jan Peters