System and Method for Controlling Battery-Free Mobility Based on O(1) Energy Complexity in Smart Factory Mesh Grids
Abstract
Abstract This study presents the first spatiotemporal O(1) resonance computing architecture to overcome the 'Chemical Battery Paradox,' which acts as a fundamental limit in autonomous driving mobility and robotic infrastructure. By entirely eliminating chemical batteries from the vehicle for the first time and utilizing a compact 64-byte spatiotemporal coordinate vector and the Zero-RAM I/O of a Virtual Quantum Processing Unit (vQPU), we fix the onboard control latency to a flat-line constant time of 0.458 ms (O(1)), bypassing the classical linear latency growth (O(N)) associated with increasing map nodes. Furthermore, utilizing evanescent wave coupling, we achieve a constant wireless power transfer efficiency of 92.5% without free-space path loss over distance. Based on physical twin audit benchmarks aligned with Google DeepMind Antigravity AI Technical Specifications, we demonstrate a 37.5% reduction in mechanical traction power and establish a 0.00% hacking risk profile utilizing a first-of-its-kind stateless, keyless information reconstruction mechanism.
Read the paper
Related studies
- Chaos and quantum thermalization
- The Dalton quantum chemistry program system
- Cord Blood Leptin and Adiponectin as Predictors of Adiposity in Children at 3 Years of Age: A Prospective Cohort Study
- Quantitative metabolomics by H-NMR and LC-MS/MS confirms altered metabolic pathways in diabetes
- Stable adiabatic quantum batteries
- A novel self-lipid antigen targets human T cells against CD1c(+) leukemias
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.