Horizontal Sustained Force Delivery with an Aerial Manipulator Using Hybrid Force/Position Control
Hameed Ullah, Simone D’Angelo, Fabio Ruggiero, Vincenzo Lippiello, Santos M. Orozco-Soto
- 发表年份
- 2024
- 引用次数
- 6
摘要
This paper introduces a novel hybrid force/position control system tailored for aerial manipulators, aiming to enable efficient and sustained delivery of horizontal forces. Unlike existing approaches mainly designed for ground-fixed manipulators, this architecture is specifically developed for aerial robotics. By leveraging physics-engine based simulations, the proposed system demonstrates effectiveness in generating large controlled forces over extended periods, improving comparable hybrid controllers documented in the literature. These findings offer valuable insights for optimizing aerial manipulators, particularly in scenarios necessitating prolonged horizontal force exertion. The study's contributions hold promise for various applications, including search and rescue operations, infrastructure maintenance, and environmental monitoring, thereby driving advancements in aerial manipulation technologies,
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002