Daniel Schäle

Assistant Professor Daniel Schäle is affiliated with the Department of Computer Science, Electrical Engineering, and Mathematical Sciences at Western Norway University of Applied Sciences. His research focuses on robotics and human-robot interaction, with particular emphasis on manufacturing automation and incremental learning algorithms. Key affiliations include:

• Department of Computer Science, Electrical Engineering, and Mathematical Sciences
• Robotics research group

His research interests span robotics and human-robot interaction, including:

• Development of collaborative robots for industrial applications
• Advancing manufacturing processes through robot learning
• Programming tasks like industrial gluing and wood carving using probabilistic movement primitives
• Exploring incremental learning algorithms to enhance human-robot cooperation

Recent work highlights advancements in robotic manufacturing tasks, incremental learning frameworks, and probabilistic models for movement primitives. These contributions address both theoretical and applied challenges in robotics, such as optimizing industrial processes and human-robot interaction through adaptive learning systems.

Teaching responsibilities include courses such as:

• Applied Robot Prototyping (ADA526)
• Advanced Robot Control (ADA527)
• Master’s Thesis supervision (ADA599)
• Intelligent Robots (DAT160)
• Bachelor Thesis (ELE350)

No student advisees or grant information listed. He contributed to the establishment of the HVL Robotics lab in Førde Campus, fostering research in robotics infrastructure and academic development.