معرفی
Martin Servin is an Associate Professor at the Department of Physics, Umeå University, and leads the Digital Physics research group within the UMIT Research Lab. His work focuses on computational modeling and simulation of granular materials, robots, and vehicles, with applications in AI-based control and perception. He holds a doctoral degree from Umeå University (2003) and has pioneered research in real-time physics simulation, particularly in the context of autonomous machinery and off-road robotics.
Research Interests: Digital physics, granular materials simulation, autonomous systems, reinforcement learning, and simulation-to-reality transfer. His group develops advanced simulation tools for industries like forestry, mining, and construction.
Key Projects:
- Mistra Digital Forest (2019–2026)
- AILUR (Digital Twin for AI-controlled Lunar Robotics)
- XSCAVE (Explainable, Safe Control for Heavy Machinery)
Publications emphasize simulation methodologies, AI integration, and real-world validation across robotics, vehicle dynamics, and granular mechanics. Notable contributions include work on wheel loader dynamics, deep reinforcement learning for control systems, and terrain modeling.
Awards include the Spin-off award for industry-grade physics in Unreal Engine (2018), recognizing his role in Algoryx Simulations, a spin-off company commercializing his research.
Labs/Teams: UMIT Research Lab, Digital Physics Group, and collaborations with Algoryx Simulations.
