Papers
9
Total Citations
63
H-Index
5
About
Peter Nauth is a robotics researcher whose work spans human-robot interaction, autonomous navigation, assistive robotics, and intelligent control systems. With a career dedicated to making robots more accessible and capable, Nauth has made significant contributions to voice-controlled mobile robotics, most notably demonstrated in his widely cited 2019 study on voice-controlled robot navigation (19 citations), which advanced the field of natural language interfaces for assistive devices. His foundational 2016 work on forward and inverse kinematics for humanoid robotic arms (15 citations) provided an accessible vector calculus-based framework that has become a valuable reference for researchers designing multi-degree-of-freedom systems. Nauth is perhaps best known for his ongoing development of ROSWITHA, a cost-efficient assistive robot designed to support elderly and disabled individuals, integrating semantic segmentation for indoor navigation and adaptive learning capabilities. His more recent research addresses robot path planning through modified Ant Colony Optimization algorithms, reflecting a growing interest in bioinspired computational methods for real-world autonomous systems. Across his career, Nauth has consistently prioritized practical, human-centered robotics solutions — bridging theoretical rigor with real-world applicability — accumulating over 60 citations and establishing himself as a meaningful contributor to assistive and autonomous robotics research.
Research Focus
Key Achievements
Top Papers
- 1Implementation and Testing of Voice Control in a Mobile Robot for Navigation19 citations · 2019
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- 6Accurate semantic segmentation of RGB-D images for indoor navigation4 citations · 2022
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- 9Improvement of assistive robot behavior by experience-based learning2 citations · 2013