STARLI 发布 777 页《智能机器人物質能源分配極限》研究工作报告，探讨 24 个机器人物质模块的分布式能量分配
ENERGY DISTRIBUTION IN INTELLIGENT ROBOTIC MATTER AT THE LIMIT Chinese Title / 中文書名:智能機器人物質能源分配極限 21/90 ENERGY DISTRIBUTION IN INTELLIGENT ROBOTIC MATTER AT THE LIMIT is a 777-page English Research Working Edition of STARLI's YULI Nano Supercar Trilogy, asking whether twenty-four locally controlled robotic-matter modules can share a bounded energy supply for a fixed, verified vehicle-body reconfiguration task without concealing external work, structural risk or unsafe communication delays. The three-coupling is Energy Networks x Distributed Power Supply x Vehicle Reconfiguration. Tests are restricted to unoccupied, scaled hardware, traceable electrical rails and laboratory/hardware-in-the-loop environments; no completed roadworthy or nanorobotic supercar is claimed. The falsifiable hypothesis is that a pre-registered distributed allocator can reduce total mission joules at the same useful task, material mass, sensing quality, energy sources, cooling, computation, time and operator budg
本站收录：2026-10-31 07:16
STARLI 发布 777 页研究工作报告《智能机器人物質能源分配極限》，探讨 24 个本地控制的机器人物质模块能否在固定车身重构任务中共享有限能量供给。报告提出可证伪假设：预注册的分布式分配器在同等任务、质量、感知与时间预算下可降低总任务焦耳数，且不恶化关键指令延迟。测试限于无人、缩比硬件与硬件在环环境，未声称完成可上路或纳米机器人超跑。
来源：Zenodo · battery 数据与软件 · zenodo.org