معرفی
Dr. Mikko Lauri is a Postdoctoral Researcher at the Department of Informatics, University of Hamburg, working in the Computer Vision Research Group. His research focuses on decision-making under uncertainty, active perception, and computer vision, with particular emphasis on multi-agent systems for cooperative tasks in robotics applications.
His research interests include:
- Multi-agent decision-making under uncertainty
- Active perception and information gathering
- Computer vision for mobile robots
- Partially Observable Markov Decision Processes (POMDPs)
- Object pose estimation and visual object search
- Deep learning applications in robotics
Lauri's recent work has focused on advancing theoretical frameworks for teams of agents to act cooperatively. His survey paper on POMDPs in robotics provides a comprehensive overview of decision-making under uncertainty in robotic systems. His research has practical applications in autonomous robots, including exploration, object pose estimation, and visual object search, with techniques that balance theoretical rigor with real-world implementation.
Scientific contributions:
- Developed novel approaches for multi-agent active perception with prediction rewards
- Created methods for multi-sensor next-best-view planning using submodular optimization
- Advanced techniques for 6D object pose estimation using point clouds and deep learning
- Contributed to audio-visual signal processing for sound source separation
Lauri collaborates extensively with researchers in the Computer Vision Research Group at the University of Hamburg and has worked with international collaborators from institutions including Aalto University (Finland) and the National University of Singapore. His work bridges theoretical foundations in decision-making under uncertainty with practical robotics applications.
