PhD Student in Mathematics & Computer Science at Freie Universität Berlin
Specializing in Knowledge Formalization, Trajectory Prediction and Planning for Autonomous Agents
Our paper "Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification" has been accepted at Robotics: Science and Systems (RSS) 2025 conference.
I am enrolled in joint PhD program at Freie Universität Berlin and Continental Automotive, supervised by Prof. Adrian Paschke. I am specializing in the intersection of artificial intelligence and autonomous systems.
My research is dedicated to developing innovative methods for formalizing traffic rules and integrating them into autonomous driving systems. Additionally, I work as a research scientist at Continental Automotive, where I focus on translating these theoretical frameworks into practical applications.
Working towards integrating traffic rules into the trajectory prediction module in a implicit manner. Alongside we are improving uncertainty quantification in the prediction.
Algorithms for planning vehicle trajectories in complex traffic scenarios while adherring to the rules of the road.
Proceedings of the Robotics: Science and Systems (RSS), 2025
Kumar Manas, Christian Schlauch, Adrian Paschke, Christian Wirth, and Nadja Klein
Paper | Project Website |
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Kumar Manas, Stefan Zwicklbauer, and Adrian Paschke
Book Title: Hybride KI mit Machine Learning und Knowledge Graphs
Ya Wang*, Kumar Manas*, and Adrian Paschkee
IEEE Intelligent Vehicles Symposium (2024)
Kumar Manas, Stefan Zwicklbauer, and Adrian Paschke
Poster |
Workshop on Logic Programming and Legal Reasoning in International Conference on Logic Programming (ICLP) (2023)
Kumar Manas and Adrian Paschke
International Joint Conference on Rules and Reasoning (RuleML+RR) (2023)
Kumar Manas and Adrian Paschke
EU Patent No. EP4332824A1
Daniel Bär, Raffael schön, Stefan Zwicklbauer, and Manas Kumar