معرفی
Todor Stoyanov is a Senior Lecturer in Computer Science and an affiliated faculty member of the WASP program at Örebro University. He serves as the subject manager in computer science and is part of the Centre for Applied Autonomous Sensor Systems (AASS). His research focuses on autonomy for mobile robots, particularly perception algorithms and motion synthesis for manipulation. He holds a PhD in Computer Science from Örebro University (2012), specializing in autonomous robot navigation.
Education:
- PhD in Computer Science, Örebro University, 2012 (Thesis: Reliable Autonomous Navigation in Semi-Structured Environments Using the 3D Normal Distributions Transform)
Research Interests: Dr. Stoyanov's work spans autonomous mobile robots, robot perception, motion planning, and manipulation. Key areas include behavior trees for control, deformable object tracking, and reinforcement learning for knowledge transfer. His research often integrates advanced algorithms with real-world robotics applications in logistics, manufacturing, and environmental monitoring.
Research Projects:
- Ongoing: Labour market effects of AI in knowledge-intensive services
- Ongoing: Dynamic Agile Production Robots (DARKO)
- Ongoing: TeamRob - Teams of Robots Working for and with Humans
- Completed: Action and Intention Recognition in Human-Robot Interaction (AIR)
- Completed: Autonomous Wheeled Loaders for Material Handling (ALL-4-eHam)
Labs/Groups: He leads the Autonomous Mobile Manipulation Lab, focusing on full-body mobile manipulation and human-robot collaboration.
