ROMay 7

Multi-Robot Coordination in V2X Environments

arXiv:2605.0666224.5
Predicted impact top 76% in RO · last 90 daysOriginality Synthesis-oriented
AI Analysis

For researchers and developers of cooperative robots in intelligent transportation systems, this work provides a standards-aligned foundation for integrating robots into V2X environments, but the results are preliminary and incremental.

This paper introduces a V2X communication framework with two new services (RAS and RMCS) for decentralized multi-robot coordination in urban traffic. A real-world proof of concept demonstrates deterministic coordination between a humanoid and quadrupedal robot, and simulations show reduced channel load by integrating non-V2X pedestrians into cooperative awareness.

This paper presents a Vehicle-to-Everything (V2X) communication framework that enables decentralized cooperation among social robots operating in complex urban traffic environments. Building on ETSI Cooperative Awareness and Maneuver Coordination services, the framework introduces two robot-centric facility-layer services: the Robot Awareness Service (RAS) and the Robot Maneuver Coordination Service (RMCS), realized through the Robot Awareness Message (RAM) and the Robot Maneuver Coordination Message (RMCM), respectively. RAS enables role-aware, task-oriented robot awareness while integrating externally detected Vulnerable Road Users (VRUs), including non-V2X pedestrians, into cooperative awareness. RMCS supports event-driven, low-latency coordination of robot maneuvers under explicitly established roles, without centralized infrastructure or prior pairing. A real-world proof of concept demonstrates deterministic multi-robot coordination between a humanoid robot and a quadrupedal robot assisting a pedestrian during a road-crossing scenario, governed by a formally specified finite-state coordination model. Complementary simulations evaluate robot-mediated VRU clustering in mixed V2X environments, showing that RAS-based clustering integrates non-V2X VRUs in safety-critical areas while reducing redundant transmissions from V2X-enabled VRUs, thereby lowering channel load. Together, the proposed services provide a scalable and standards-aligned foundation for integrating cooperative robots into future Connected, Cooperative, and Automated Mobility ecosystems.

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