Papers

102

Total Citations

2,306

H-Index

27

About

Friedrich M. Wahl is a prominent researcher in robotics and automation, with significant contributions spanning motion planning, robot control, medical robotics, and intelligent systems. His work has shaped how robots perceive, plan, and interact with complex environments, earning him well over 700 citations across his most influential publications alone. Wahl's most celebrated contribution, his 2009 paper on online trajectory generation (217 citations), introduced a groundbreaking framework enabling robotic systems to react instantaneously to unforeseen events — a foundational advance for real-time robotics. Complementing this, his research on skill primitives and assembly task decomposition redefined automated robot programming by providing structured, error-tolerant approaches to executing complex manipulation sequences. His work on fuzzy and neuro-fuzzy control systems further demonstrated his commitment to robust robot behavior in uncertain environments. Perhaps most striking is the breadth of Wahl's impact beyond traditional robotics. His forays into medical robotics — including robot-assisted long bone fracture reduction and CT-based segmentation of paranasal sinuses — reveal a researcher willing to apply rigorous engineering principles to pressing clinical challenges. Combined with his work on inertial parameter estimation and mobile robot navigation, Wahl's career stands as a testament to integrating theoretical depth with real-world applicability, making his body of work essential reading for robotics researchers and students alike.

Research Focus

Key Achievements

27
H-Index
102
Papers
2,306
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Online Trajectory Generation: Basic Concepts for Instantaneous Reactions to Unforeseen Events
217 citations · 2009
📈 Most Prolific Year: 2010 (17 Papers)
🤝 Key Collaborators: 96
🏛 Institutions: Technische Universität Braunschweig, Statistisches Bundesamt

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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