Our research in vehicle analysis and robotics supports the development of transport systems that integrate safety, energy efficiency, driving experience, artificial intelligence, and automation across the road, rail, aviation, and maritime sectors. We also work on natural language processing, autonomous robots, and applications in health, sports, and environment monitoring. Through our research we aim to develop innovative solutions to challenges of societal relevance.
Our research groups
Our research is conducted in three research groups.
Our courses
Research group Applied AI
Undergraduate level
MMS131 Introduction to artificial intelligence
MMS320 Introduction to programming and AI
Master level
FFR105 Stochastic optimization algorithms
TIF160 Humanoid robotics
TME286 Interpretable artificial intelligence
TME290 Autonomous robots
MMS210 Connected fleets in data-driven engineering
TRA300 Digitalization in sports
Research group Road Vehicle Aerodynamics
MMF062 Vehicle motion engineering
LEU744 Computer based control systems
TME102 Vehicle motion and control
SSY036 Styrteknik
MTF236 Road vehicle aerodynamics
TME180 Automotive engineering project
PhD course
FTME030 Tire and Vehicle Dynamics
Research group Road Vehicle Aerodynamics
Our infrastructures
Applied AI Lab
The Applied AI Lab is a central resource for both our education and research activities. The lab specializes in autonomous systems and robotics, focusing on the development and testing of miniature vehicles, humanoid robots, and indoor drones. The equipment includes an advanced 3D localization system for precision navigation, 3D printers for rapid prototyping, and a wide range of sensors and electronics for use in complex robotics projects. The controlled indoor environment allows for reproducible experiments and validation of algorithms under realistic conditions.
Chalmers Revere
The Chalmers Revere laboratory specializes in research on autonomous systems, cyber-physical systems, active safety, and vehicle dynamics. Here, a realistic multi-modal testing environment is created to develop and evaluate advanced algorithms and technologies for self-driving vehicles. Through simulations and physical modeling, the lab enables deeper insights into how vehicles interact with their surroundings, which is crucial for improving safety and efficiency in future transportation systems.
Chalmers Revere is an important resource for driving and collaborating on innovation in the field and supporting the development of sustainable transportation solutions. The lab houses various types of vehicles, including road vehicles (including a truck), marine vehicles above and below the surface, as well as aerial drones.
Head of Division
- Assistant Head of Department, Mechanical Engineering