P. Aigner

Papers

Total Citations

101

H-Index

About

Peter Aigner’s research lies at the intersection of human-robot interaction, discrete event control, and assistive robotics. His most influential work introduces a novel framework for human integration into robot control systems by utilizing potential fields for control synthesis, a contribution that has garnered 61 citations. This approach addresses critical challenges in environments with limited sensor information, enabling safer and more intuitive human-robot collaboration. Aigner further advanced the field with his work on a shared control framework for a robotic aid for the blind, demonstrating how a robotic cane can assist visually impaired users in navigating obstacle-rich environments. This application, cited 20 times, exemplifies his commitment to translating theoretical control methods into practical assistive technologies. Additionally, his foundational paper on hybrid dynamic modeling and control of constrained manipulation systems, also with 20 citations, established discrete event systems as a powerful framework for robot control tasks, providing methods for effective process monitoring. Through these contributions, Aigner has significantly shaped the development of human-centered robotic systems, blending rigorous control theory with real-world applications to enhance autonomy and safety for human users.