Semantic Map Sharing and Capability-Aware Coverage Planning for AI-Native 6G Robotic Coordination

arXiv:2609.37666 · cs.RO, cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-09-29

Updated: 2026-09-29

Code: https://github.com/adhafer/semcap-cpp

Terminology

• Coverage Path Planning — 9× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Search and Rescue — 2× in this paper
• Accuracy — 1× in this paper · explained in 1 episode
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes

Sources

• Air-Ground Collaborative Robots for Fire and Rescue Missions: A Survey from the Mapping and Navigation Perspective
• A Critical Review of Communications in Multi-Robot Systems
• Strengthening Multi-Robot Systems for SAR: Co-Designing Robotics and Communication Towards 6G
• DRespNeT: A UAV Dataset and YOLOv8-DRN Model for Aerial Instance Segmentation of Building Access Points for Post-Earthquake Search-and-Rescue Missions
• 3D Semantic Segmentation for Post-Disaster Assessment
• 6G Empowering Future Robotics: A Vision for Next-Generation Autonomous Systems
• A Framework for Semantics-based Situational Awareness during Mobile Robot Deployments
• xBD: A Dataset for Assessing Building Damage from Satellite Imagery

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