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The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
Published on: October 14, 2017
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Leader-Steered Rigid Formation Control With Visibility Maintenance for Multiple Nonholonomic Mobile Robots
IEEE Transactions on Cybernetics
|November 27, 2025
Summary
This study presents a new framework for multirobot systems to maintain leader-steered (L-S) rigid formations despite nonholonomic and field-of-view (FOV) constraints, ensuring visibility between robots.
Area of Science:
- Robotics and Control Systems
- Multi-Agent Systems
- Autonomous Navigation
Background:
- Traditional leader-follower models struggle with nonholonomic and field-of-view (FOV) constraints in multirobot systems.
- Maintaining both formation rigidity and inter-agent visibility is challenging under dynamic conditions.
Purpose of the Study:
- To introduce a novel framework for achieving leader-steered (L-S) rigid formations in multirobot systems.
- To address nonholonomic and field-of-view (FOV) constraints while ensuring visibility maintenance.
- To develop a control strategy that balances formation adjustments with visibility requirements.
Main Methods:
- Development of a virtual leader model based on topological and local agent connections.
- Implementation of a continuous and continuously differentiable switching function to manage visibility and formation adjustments.
- Design of a distributed control protocol and a distributed observer for system implementation.
Main Results:
- The framework successfully achieves leader-steered (L-S) rigid formations under nonholonomic and FOV constraints.
- Visibility is maintained between topologically connected vehicles throughout the formation maneuvers.
- The switching function effectively balances formation control with visibility requirements, even during high-curvature trajectories.
Conclusions:
- The proposed framework offers a robust solution for L-S rigid formations in constrained multirobot systems.
- The method demonstrates practical utility and effectiveness through numerical simulations and real-world experiments.
- This approach enhances the applicability of coordinated multirobot systems in complex environments.
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