Patrick Hart

Working on solving self-driving cars in the Argo AI motion planning team as a senior software engineer. Special topics of interests are optimization-, search- and learning-based motion planning approaches. Strong focus on efficient C++, Python and Bazel. Obtained C++ readership within the first six months being at Argo AI.

• Audi Valet Parking: Development of an automated valet parking service with a focus on search- and optimization-based trajectory planning.
• AID (now Argo.ai): Urban driving behavior generation using learning-based and parametric models.
• Intel: Researching and extending the Responsibility-Sensitive Safety (RSS) using automated scenario generation.
• fortuna: Set-up of an autonomous vehicle from scratch (driving stack).
• BARK & BARK-ML: Initiator of the development, simulation, and benchmarking frameworks BARK & BARK-ML for behavior planning algorithms.
• MUKI: Researching safety-envelopes under perception uncertainty for autonomous driving.

Master's thesis and first industry experience with autonomous vehicles.

• Co-founder of the student group that focuses on participating in the autonomous driving CaroloCup challenge.

Internship in the department of research and development.

Supervision and support of people during the Special Olympics events in Karlsruhe.

• Ph.D. Thesis: "Learning, Evaluating and Optimizing Behavior Policies for Autonomous Vehicles"
• Supervisor: Prof. Dr.-Ing. habil. Alois Knoll, Technical University of Munich
• Second Supervisor: Prof. Mykel J. Kochenderfer, Stanford University

• Teaching: Taught the practical course ”Planning Robust Behavior for Autonomous Driving” @TUM
• Theses Supervision: Supervised several master theses dealing with autonomous driving and machine learning.
• TUM Graduate School: Design thinking seminar, SCRUM-Master, rhetorics course, and more.

• Master Thesis: "Search-Based Methods for Kinodynamic Planning of Autonomous Vehicles" under the supervision of Prof. Dr.-Ing. Christoph Stiller. Development of an RRT* trajectory planning algorithm for autonomous vehicles.
• Graduate studies with a specialization in robotics and advanced mechatronics.
• Mechatronics Lab: Applied design and control of an industrial robot manipulator arm.

• Focus on aerospace engineering and geometric modeling.
• Academic year abroad via the Baden-Württemberg exchange program.

• Undergraduate studies with a specialization in information technology.
• Bachelor Thesis: "Development of a Tool for Automated Rolling Resistance Analysis" under the supervision of Prof. Dr. rer. nat. Frank Gauterin. Development of a fully automated data mining and rolling resistance analysis framework.