Review the site conditions required for AMRs to operate in real environments.
Robowink first reviews movement routes, worker density, changing obstacles, and higher-level system integration conditions in logistics and manufacturing environments before assessing AMR applicability.
More important than simply asking whether a robot can move are the conditions that repeatedly occur in real operations, such as crossing traffic, narrow aisles, carts, forklifts, worker entry, and changing loads.
We focus on environments where AMR deployment can deliver meaningful benefits and where DVS+SNN-based dynamic-risk perception can provide additional value.
Suitable for repeated transport of materials, parts, and finished goods across inbound, storage, picking, and outbound zones.
Applicable to repetitive production logistics such as inter-process parts supply, work-in-process transport, and empty-container return.
Dynamic situation awareness is especially important at intersections, aisles, and entrances where moving objects appear more frequently than fixed obstacles.
In environments where production cells, load positions, and aisle conditions change frequently, flexible mobile automation can be more suitable than fixed conveyors.
AMR applicability often depends more on site conditions than on robot specifications. We use the following checkpoints during the initial site review.
Review origins, destinations, repeated routes, crossing points, turning radius, and aisle width.
Review the AMR platform based on load size, weight, height, and loading/unloading method.
Review how frequently workers, carts, forklifts, and other moving objects appear and from which directions they approach.
Review flooring, level differences, slopes, thresholds, and other conditions affecting driving stability.
Review Wi-Fi/Ethernet network quality and integration requirements for fleet-management and higher-level systems.
Define real operating KPIs first, including throughput, operating time, charging method, and bottleneck areas.
Rather than replacing safety devices such as Safety LiDAR or bumpers, this approach uses DVS-based event sensing and SNN temporal inference to assist situational awareness in areas with significant motion changes.
If several of the following conditions apply, a site survey and PoC can be used to evaluate feasibility in more detail.
Assess routes, payloads, and worker traffic
Define the AMR platform, sensors, and integration architecture
Test actual routes, obstacles, and operating conditions
Apply operating scenarios and integrate with the system
Expand to multiple AMRs and additional areas using operational data
Share your routes, payloads, and operating goals, and we can help define the PoC scope and key deployment considerations.
