Dirk Abel
Papers
20
Total Citations
184
H-Index
6
About
Dirk Abel is a leading figure in control engineering and automation, whose work spans from aerospace to rehabilitation robotics. His research focuses on model predictive control, iterative learning control, and the development of autonomous systems for complex, real-world applications. Abel’s most cited work introduces a multicopter UAV for automated wind turbine inspection, a concept that integrates 3D mapping and spline-based path planning to enable collision-free autonomous flights (72 citations). He has also made significant contributions to industrial automation, including the development of an automated thixo-forging plant for steel parts, and advanced force control for lightweight robots in grinding applications. In the biomedical domain, Abel has pioneered robot-assisted rehabilitation and neuromuscular training, designing admittance control schemes and iterative learning algorithms for safe, effective therapy. His maritime research includes optimal maneuvering and networked control for autonomous harbor vessels. With a career marked by interdisciplinary innovation, Abel’s work has garnered substantial citations, reflecting its impact on both academic research and practical engineering solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2An automated Thixo‐Forging Plant for Steel Parts17 citations · 2004
- 3Model Predictive Force Control in Grinding based on a Lightweight Robot11 citations · 2019
- 4
- 5Admittance Control of an Industrial Robot during Resistance Training9 citations · 2019
- 6
- 7
- 8Isokinematic leg extension training with an industrial robot6 citations · 2016
- 9
- 10