• Computer Science > Robotics [Submitted on 25 Feb 2026] Title:Enhancing Cellular-enabled Collaborative Robots Planning through GNSS data for SAR Scenarios View PDF HTML (experimental)Abstract:Cellular-enabled collaborative robots are becoming paramount in Search-and-Rescue (SAR) and emergency response • Crucially dependent on resilient mobile network connectivity, they serve as invaluable assets for tasks like rapid victim localization and the exploration of hazardous, otherwise unreachable areas • However, their reliance on battery power and the need for persistent, low-latency communication limit operational time and mobility • To address this, and considering the evolving capabilities of 5G/6G networks, we propose a novel SAR framework that includes Mission Planning and Mission Execution phases and that optimizes robot deployment • By considering parameters such as the exploration area size, terrain elevation, robot fleet size, communication-influenced energy profiles, desired exploration rate, and target response time, our framework determines the minimum number of robots required and their optimal paths to ensure effective coverage and timely data backhaul over mobile networks

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  • Computer Science > Robotics [Submitted on 25 Feb 2026] Title:Enhancing Cellular-enabled Collaborative Robots Planning through GNSS data for SAR Scenarios View PDF HTML (experimental)Abstract:Cellular-enabled collaborative robots are becoming paramount in Search-and-Rescue (SAR) and emergency response. Crucially dependent on resilient mobile network connectivity, they serve as invaluable assets for tasks like rapid victim localization and the exploration of hazardous, otherwise unreachable areas. However, their reliance on battery power and the need for persistent, low-latency communication lim

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