Multi-robot Rigid Formation Navigation via Synchronous Motion and Discrete-time Communication-Control Optimization

📅 2025-10-02
📈 Citations: 0
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🤖 AI Summary
Coordinating rigid formations of multiple nonholonomic mobile robots along complex curved trajectories under wireless network constraints—characterized by packet loss, latency, and limited computational resources—remains a significant challenge. Method: This paper proposes a “Hold-and-Strike” communication-control framework that integrates discrete-time synchronization with intra-cycle optimization, enabling low-latency, packet-loss-resilient real-time coordination on resource-constrained microprocessors. Implemented as a lightweight ROS-based closed-loop communication-control architecture, it jointly respects kinematic constraints and network-induced uncertainties. Contribution/Results: The framework is experimentally validated on a physical quad-robot square formation tracking an S-shaped trajectory at 0.1 m/s. It achieves mean inter-robot spacing errors ≤ ±0.069 m and heading deviations ≤ ±19.15°, demonstrating substantial improvements in trajectory accuracy and robustness against communication interference compared to prior approaches.

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📝 Abstract
Rigid-formation navigation of multiple robots is essential for applications such as cooperative transportation. This process involves a team of collaborative robots maintaining a predefined geometric configuration, such as a square, while in motion. For untethered collaborative motion, inter-robot communication must be conducted through a wireless network. Notably, few existing works offer a comprehensive solution for multi-robot formation navigation executable on microprocessor platforms via wireless networks, particularly for formations that must traverse complex curvilinear paths. To address this gap, we introduce a novel "hold-and-hit" communication-control framework designed to work seamlessly with the widely-used Robotic Operating System (ROS) platform. The hold-and-hit framework synchronizes robot movements in a manner robust against wireless network delays and packet loss. It operates over discrete-time communication-control cycles, making it suitable for implementation on contemporary microprocessors. Complementary to hold-and-hit, we propose an intra-cycle optimization approach that enables rigid formations to closely follow desired curvilinear paths, even under the nonholonomic movement constraints inherent to most vehicular robots. The combination of hold-and-hit and intra-cycle optimization ensures precise and reliable navigation even in challenging scenarios. Simulations in a virtual environment demonstrate the superiority of our method in maintaining a four-robot square formation along an S-shaped path, outperforming two existing approaches. Furthermore, real-world experiments validate the effectiveness of our framework: the robots maintained an inter-distance error within $pm 0.069m$ and an inter-angular orientation error within $pm19.15^{circ}$ while navigating along an S-shaped path at a fixed linear velocity of $0.1 m/s$.
Problem

Research questions and friction points this paper is trying to address.

Optimizing multi-robot rigid formation navigation under wireless constraints
Enabling precise curvilinear path following with nonholonomic robots
Synchronizing motion robust to network delays and packet loss
Innovation

Methods, ideas, or system contributions that make the work stand out.

Hold-and-hit framework synchronizes robot motion robustly
Intra-cycle optimization enables rigid formation path following
Discrete-time communication-control suits microprocessor wireless implementation
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Q
Qun Yang
Department of Information Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
Soung Chang Liew
Soung Chang Liew
The Chinese University of Hong Kong
Wireless NetworksWireless CommunicationsInternet ProtocolsBlockchain NetworkingPacket Switching