Blog
Technical articles on warehouse robotics, MAPF, and path optimization
"Robots Take the Shortest Path — So They All End Up in the Same Place"
A logistics veteran with 12+ years of 3PL and e-commerce fulfillment experience reveals how a 7-unit AMR fleet exposed the structural limits of shortest-path routing, why free-location storage eliminated daily congestion at small scale, and why vendors say dynamic detour routing is 'difficult.'
"You Can't Build a Congestion-Free Factory" — Inside a Japanese Manufacturer's Battle with 100+ Autonomous Robots
A senior production manager at a major Japanese manufacturer reveals the structural limits of today's fleet management systems: daily congestion, multi-vendor coordination failures, PLC black boxes, and why centralized MAPF is the missing layer.
US Warehouse Robot Congestion: The $5.2B Fleet Optimization Market at an Inflection Point
A comprehensive analysis of the warehouse robot congestion problem from primary sources. Amazon's 1M+ robot operation, 35-40% capacity waste, the 300-robot ceiling, $5.23B market projection, WMS/SI/independent platform competition, purchasing structure and GTM pathways.
AGV Fleet Management Software: A Buyer's Guide for 2026
A comprehensive guide to selecting AGV fleet management software (FMS). Covers 7 evaluation criteria, 6-phase deployment roadmap, ROI calculation, and multi-vendor integration with MAPF-based path optimization.
Why Warehouse Robots Get Stuck — and Why 'Just Adding More Robots' Makes It Worse
A deep technical analysis of warehouse robot deadlocks: from Coffman conditions and Wait-for Graphs to economic quantification via Little's Law, the limits of conventional fixes, and MAPF as the fundamental solution.
DeepFleet Is the Warehouse OS: How Amazon's Multi-Agent Foundation Model Changes Warehouse Economics
A deep technical analysis of Amazon's DeepFleet paper. Covers 4 architecture comparisons, scaling laws, Little's Law economics translation, and what warehouse owners should do now.
Mathematical Models for Collision Avoidance in MAPF
Explaining the collision definitions and optimization objectives in Multi-Agent Path Finding (MAPF) with mathematical formulas. Includes CBS algorithm complexity analysis.