Long Wen

Long Wen is a Lecturer at the Technical University of Munich within the Department of Computer Science, affiliated with the Chair for Robotics, Artificial Intelligence and Real-time Systems led by Prof. Alois Knoll. He teaches the Masterseminar on Human-Robot Interaction (IN2107, IN4718) for the Winter semester 2024/25 and maintains an active research profile in robotics and AI.

• Office: 5607.03.054, Boltzmannstr. 3(5607)/III, 85748 Garching bei München
• Contact: long.wen@tum.de | +49 (89) 289 - 18112

His research concentrates on Robotics, Artificial Intelligence, and Real-time Systems with specific expertise in safety-critical control for mobile robots, autonomous driving architectures, and virtualization for software-defined vehicles. Wen investigates human-robot interaction paradigms, cloud/fog computing for robotics applications, and anomaly detection in industrial processes, emphasizing real-time performance and adaptive control in dynamic environments.

Analysis of Wen's 10 publications (2023-2025) reveals a cohesive research trajectory focused on deploying AI-driven solutions in safety-critical robotics systems. Key trends include meta-learning for obstacle navigation, containerized microservice architectures for autonomous vehicles, and Gaussian process applications in uncertain control models. His work bridges theoretical control theory with practical implementations in ROS 2 frameworks and automotive virtualization.

Scientific awards: No awards or fellowships were documented in the source material.

Wen collaborates extensively with Prof. Alois Knoll's research group on grant-funded projects related to autonomous systems, though specific funding sources and student supervision details remain undisclosed in the provided text.

He contributes to the Robotics, AI and Real-time Systems laboratory at TUM, where his team develops containerized architectures for autonomous driving software and evaluates virtualization technologies for software-defined vehicles, with recent work presented at ICRA, IROS, and IEEE conferences.