Peter Forbrig
Papers
12
Total Citations
58
H-Index
5
About
Peter Forbrig is a researcher whose work sits at the compelling intersection of human-computer interaction, social robotics, and neurorehabilitation. His most significant contributions focus on engineering meaningful interactions between humanoid robots — particularly SoftBank's Pepper — and post-stroke patients undergoing standardized rehabilitation therapy. Through a body of work spanning 2019 to 2023, Forbrig has systematically addressed the technical and design challenges inherent in deploying social robots in sensitive clinical environments, accumulating over 54 citations across his most prominent publications. Among his key achievements, Forbrig has developed frameworks for modelling robot-patient collaboration during training tasks, designed domain-specific languages for prototyping robot behavior incorporating sensor data, and tackled the real-world limitations of commercial robot programming platforms. His research uniquely bridges technical software engineering with deeply human concerns, drawing on expert interviews to capture implicit therapist and patient knowledge for informing robot behavior design. His 2019 work on multi-user interaction challenges with Pepper laid important groundwork for subsequent clinical applications. For students and researchers interested in assistive technology, HCI, or rehabilitation robotics, Forbrig's portfolio offers a rare and valuable integration of rigorous interaction design with meaningful healthcare impact.
Research Focus
Key Achievements
Top Papers
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