Can a Robot Walk the Robotic Dog: Triple-Zero Collaborative Navigation for Heterogeneous Multi-Agent Systems

• URL: http://arxiv.org/abs/2603.21723v2
• Date: Fri, 27 Mar 2026 07:52:56 GMT
• Title: Can a Robot Walk the Robotic Dog: Triple-Zero Collaborative Navigation for Heterogeneous Multi-Agent Systems
• Abstract summary: Triple Zero Path Planning (TZPP) is a collaborative framework for heterogeneous multi-robot systems.<n>TZPP requires zero training, zero prior knowledge, and zero simulation.<n>TZPP achieves robust, human-comparable efficiency and strong adaptability to unseen scenarios.
• Score: 16.361094060622534
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present Triple Zero Path Planning (TZPP), a collaborative framework for heterogeneous multi-robot systems that requires zero training, zero prior knowledge, and zero simulation. TZPP employs a coordinator--explorer architecture: a humanoid robot handles task coordination, while a quadruped robot explores and identifies feasible paths using guidance from a multimodal large language model. We implement TZPP on Unitree G1 and Go2 robots and evaluate it across diverse indoor and outdoor environments, including obstacle-rich and landmark-sparse settings. Experiments show that TZPP achieves robust, human-comparable efficiency and strong adaptability to unseen scenarios. By eliminating reliance on training and simulation, TZPP offers a practical path toward real-world deployment of heterogeneous robot cooperation. Our code and video are provided at: https://github.com/triple-zeropp/Triple-zero-robot-agent

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