In context
In mid-2025, aerial manipulators (AMs) were increasingly deployed for tasks like object grasping and infrastructure inspection, but their flexibility introduced risks of interaction instability and insufficient compliance. Sampling in dynamic marsh wetland environments demanded advanced compliant interaction and precise control methods.
What was reported
A study from Fuzhou University and Hunan University proposed a variable-stiffness compliant control framework for aerial manipulators performing sampling tasks in marsh wetlands. The framework includes a variable-stiffness admittance controller based on an energy tank to achieve compliant sampling, and a boundary adaptive method to address energy insufficiency in the tank caused by variable stiffness, enhancing safety.
The researchers designed a disturbance observer and pose controller using prescribed-time control, improving disturbance estimation and trajectory error convergence speed. Stability was analyzed using passivity theory and Lyapunov tools. Simulations and experiments verified the framework's compliance, safety, and stability.
Why it mattered
This work addressed key challenges in aerial manipulation for environmental sampling, offering a method to maintain passivity while adjusting stiffness online. The prescribed-time control approach could improve response speed and precision in dynamic, uncertain environments, potentially expanding AM applications in industrial and environmental monitoring.
"The compliance, safety, and stability of the variable-stiffness compliant control framework are verified through simulations and experiments."
Source: 《机器人》期刊 (robot.sia.cn) · Published 2025-06-09 · “面向沼泽湿地环境采样的空中作业机器人变刚度柔顺控制”