vAccSOL: Efficient and Transparent AI Vision Offloading for Mobile Robots
Mobile robots are increasingly deployed for inspection, patrol, and search-and-rescue operations, relying on computer vision for perception, navigation, and autonomous decision-making. However, executing modern vision workloads onboard is challenging due to limited compute resources and strict energy constraints. While some platforms include embedded accelerators, these are typically tied to proprietary software stacks, leaving user-defined workloads to run on resource-constrained companion computers. We present vAccSOL, a framework for efficient and transparent execution of AI-based vision workloads across heterogeneous robotic and edge platforms. vAccSOL integrates two components: SOL, ...
| Authors | Adam Zahir, Michele Gucciardom Falk Selker, Anastasios Nanos et al. |
|---|---|
| Primary category | cs.RO |
| Published | 17 March 2026 |
| Last updated at source | 17 March 2026 |
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