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Force Control of a Haptic Flexible-Link Antenna Based on a Lumped-Mass Model
María Isabel Haro-Olmo1, Luis Mérida-Calvo1, Daniel Feliu-Talegón2
1Instituto de Investigaciones Energéticas y Aplicaciones Industriales, Universidad de Castilla-La Mancha, 13005 Ciudad Real, Spain.
Researchers developed a robotic haptic antenna for navigation and object interaction. This system demonstrates robust force control for flexible robotic sensing, inspired by insect antennae.
Area of Science:
- Robotics
- Biomimetics
- Control Systems Engineering
Background:
- Haptic sensing is crucial for animal navigation in environments lacking vision.
- Insects utilize slender, flexible antennae with muscle-driven bases for active sensing, obstacle detection, and object recognition.
- Effective force control of these antennae is vital for their diverse functions.
Purpose of the Study:
- To develop a haptic robotic system mimicking natural sensing antennae.
- To focus on and achieve robust force control for a lightweight, flexible robotic antenna.
- To create a system capable of efficient interaction regardless of contact point.
Main Methods:
- Developed a dynamic model of the flexible antenna using lumped-mass discretization, accounting for gravity and point contact.
- Proved the robust stability of the closed-loop system utilizing the Routh stability criterion.
- Designed and implemented a robust force control system based on the stability analysis.
Main Results:
- A mechanical device replicating the sensing organ was constructed, featuring a flexible link, 3D force-torque sensor, and motorized base for movement.
- Experimental results in contact scenarios validated the effectiveness of the developed robust force control method.
- The system demonstrated efficient performance across different contact points.
Conclusions:
- The research successfully presents a novel haptic robotic system inspired by biological sensing antennae.
- The proposed robust force control strategy ensures reliable performance in contact-based tasks.
- This work contributes to advancements in robotic sensing and manipulation, particularly for delicate or unknown environments.
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