# Edge Computing and its Application in Robotics: A Survey

arXiv: https://arxiv.org/abs/2507.00523 · HTML: https://mlsanity.com/paper/2507.00523/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Jul 2025.

## Built on by (most cited first, 9 of 9)

- [EdgeNavMamba: Mamba Optimized Object Detection for Energy Efficient Edge Devices](https://mlsanity.com/paper/2510.14946/) (2025)
- [Towards Considerate Embodied AI: Co-Designing Situated Multi-Site Healthcare Robots from Abstract Concepts to High-Fidelity Prototypes](https://mlsanity.com/paper/2602.03054/) (2026)
- [Precision-Scalable Microscaling Datapaths with Optimized Reduction Tree for Efficient NPU Integration](https://mlsanity.com/paper/2511.06313/) (2025)
- [vAccSOL: Efficient and Transparent AI Vision Offloading for Mobile Robots](https://mlsanity.com/paper/2603.16685/) (2026)
- [Remote Action Generation: Remote Control with Minimal Communication](https://mlsanity.com/paper/2605.01833/) (2026)
- [AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics](https://mlsanity.com/paper/2606.01015/) (2026)
- [TileFuse: A Fused Mixed-Precision Kernel Library for Efficient Quantized LLM Inference on AMD NPUs](https://mlsanity.com/paper/2606.11357/) (2026)
- [Bimanual Manipulation Within an 8 GB Budget: Zero-Copy Sensing and Quantized ACT on an Entry-Level Jetson](https://mlsanity.com/paper/2608.03938/) (2026)
- [Cache-Aware Conv3D Lowering Across Embedded World-Model Decoders](https://mlsanity.com/paper/2609.31938/) (2026)

## Abstract (arXiv)

The Edge computing paradigm has gained prominence in both academic and industry circles in recent years. By implementing edge computing facilities and services in robotics, it becomes a key enabler in the deployment of artificial intelligence applications to robots. Time-sensitive robotics applications benefit from the reduced latency, mobility, and location awareness provided by the edge computing paradigm, which enables real-time data processing and intelligence at the network's edge. While the advantages of integrating edge computing into robotics are numerous, there has been no recent survey that comprehensively examines these benefits. This paper aims to bridge that gap by highlighting important work in the domain of edge robotics, examining recent advancements, and offering deeper insight into the challenges and motivations behind both current and emerging solutions. In particular, this article provides a comprehensive evaluation of recent developments in edge robotics, with an emphasis on fundamental applications, providing in-depth analysis of the key motivations, challenges, and future directions in this rapidly evolving domain. It also explores the importance of edge computing in real-world robotics scenarios where rapid response times are critical. Finally, the paper outlines various open research challenges in the field of edge robotics.