arXiv:2607.00029v1 Announce Type: cross Abstract: Non-terrestrial networks (NTN) provide ubiquitous connectivity for embodied intelligence (EI), enabling robots in wilderness to leverage cloud resources or report critical information to remote centers. However, the synergy is nontrivial due to the highly-dynamic, resource-constrained, topology-varying, and task-oriented environment. Existing memoryless NTN protocols become inefficient, since the decisions are driven by local channel conditions and instantaneous service demands. To address these limitations, this paper proposes the memory-nativ
This research addresses the growing need for robust connectivity solutions as embodied intelligence (robotics) expands into dynamic and remote environments, leveraging next-generation network capabilities.
It highlights the critical infrastructure development required to unlock the full potential of embodied intelligence by ensuring reliable communication and access to cloud resources in challenging conditions.
Current inefficient, memoryless non-terrestrial network protocols for embodied intelligence will be replaced by memory-native designs, enabling more context-aware and efficient operation for robots in remote areas.
- · Robotics manufacturers
- · Satellite communication providers
- · AI hardware developers
- · Logistics and defence sectors
- · Providers of legacy satellite comms for dynamic environments
- · Applications bottlenecked by intermittent connectivity
Enhanced operational capabilities and reach for embodied intelligence, particularly in remote or hazardous regions.
Acceleration of research and development in AI-driven network management and satellite-to-robot communication protocols.
Deployment of autonomous robotic systems in environments previously deemed inaccessible or too complex due to communication limitations, fostering new industries.
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Read at arXiv cs.AI