Automatic Fulfillment

Post-Human Logistics in the Age of Automation

Logistics

A WEI+ZKA Project

The starting point for this exploration was an Amazon patent (US9777502) for a multi-level fulfillment center designed for unmanned aerial vehicles (UAVs). While the patent outlines a model for integrating UAVs into dense urban settings, this project expands the technical data. It interrogates the architectural implications of a fully automated, post-human logistical system.

“Robotic arms & algorithms have become the architects of a new urban typology, where space is defined by function, not form.”

In 1963, the introduction of the ZIP code reorganized postal systems, streamlining logistical operations. Similarly, the COVID-19 pandemic in 2020 revealed the limitations of current logistical infrastructures, which were overwhelmed by the unprecedented demands of home delivery. Automatic Fulfillment envisions a future where architecture is no longer designed for human occupation but for drones, robotics, and automated systems—erasing the remnants of human-centric spatial design.

From Human Circulation to Machine Optimization

This project explores the concept of a multi-level fulfillment center embedded within urban environments rather than sprawling across the city outskirts. Vertical expansion, driven by automation, redefines such facilities’ spatial and operational logic. By eliminating the need for human circulation, the footprint of these centers can be reduced significantly, enhancing operational efficiency. Unloading times are halved, verticality optimizes storage, and the former human-centric space is transformed for robotic and drone-based activity.

Automation reshapes logistics by making human-scale design irrelevant. Robotic systems and drones replace manual processes, leading to exponentially greater productivity. A fully automated fulfillment center can process hundreds of thousands of items daily, emphasizing the shift from human activity to machine optimization. By organizing logistics vertically, these systems reduce the environmental impact of horizontal sprawl while increasing efficiency.

Materiality and Program: A New Vocabulary for Automation

In this speculative scenario, fulfillment center architecture becomes subservient to automated systems’ needs. Robotic tracks, tote shelves, and drone air corridors replace corridors, storage rooms, and workspaces. Machines’ logistical requirements dictate the design and human workers’ needs no longer bind them. The programmatic layout is optimized for the precision of drone landings and robotic arms managing the flow of goods.

Rather than serving human comfort or experience, the building’s design is oriented toward productivity, minimizing redundancies, and maximizing efficiency. The architectural vocabulary shifts from spaces designed for human occupancy to forms optimized for mechanical operations. Each element within the building is programmed to serve the logistical system, transforming the building into a tool for managing goods, data, and energy flows.

Technological Agency in the Post-Human Landscape

In this future, architecture’s agency is completely subsumed by the logistical systems it supports. Robotic arms, autonomous systems, and drones handle tasks that once required human oversight. The building operates as the interface between logistical operations, managing and directing movement through algorithms and automated systems. This shift removes the human operator from the process, replacing decision-making with mechanical precision.

Architecture in this context serves as a logistical facilitator, where the building’s design prioritizes performance, energy efficiency, and continuous operations. The vertical nature of these centers reimagines logistical space as a new urban typology structured around the needs of automation rather than human use.

Environmental Impact and Systemic Strain

The vertical design of these centers has significant environmental implications. By concentrating operations in smaller physical footprints, these facilities can reduce land use, mitigating some environmental impacts. Drones and automated systems, known for their low energy consumption, offer potential reductions in delivery emissions. However, the increased reliance on automated systems introduces new energy demands, raising questions about the balance between environmental benefits and the energy-intensive nature of large-scale automation.

While these centers offer solutions to urban congestion and traffic-related emissions, they also challenge the limits of sustainability. The project acknowledges the complexity of balancing reduced land use with the resource strain accompanying high-efficiency automation. As logistics evolve, the environmental calculus surrounding automation will require constant reassessment.

The Reconfigured Fulfillment System

Automatic Fulfillment imagines a future where architecture is no longer defined by human use but by logistical performance. These buildings are designed as operational platforms for automated systems, where the architecture becomes part of a vast urban network optimized for efficiency. The speculative fulfillment center redefines delivery logistics as an architectural problem, focusing on structuring the movement of machines over human experience.

In this future vision, buildings are recalibrated for precision, productivity, and optimization. As logistical demands evolve, so does architecture, moving from spaces designed for human interaction to those designed for the seamless flow of automated systems. These fulfillment centers, nodes within a global logistical network, represent the merging of architecture with the technological systems that now shape contemporary life.

Trucks unloading

Workers sorting and packing

Amazon worker delivering packages

Dematic automated case and tote buffer sub-system in action

A-Service pallet shuttle system automating loading/unloading

Keramik infeed palletizer stacking and organizing products

TGW Logistics’ fully automatic split-case picking system

Ocado’s robot picker selecting items autonomously

Aerial view of Amazon’s EWR fulfillment center

Airmail delivery methods

Reconfiguring Fulfillment:

Transforming Operations and Urban Airspace

Above: Flow chart of the proposed system, illustrating the transition to fully automated robotic processes.

Below: Flow chart of the current system, where workers manage all tasks.

New urban infrastructure with drone battery switch towers, creating a flexible logistics network with fixed points, allowing optimized, non-road-bound delivery routes.

Optimizing Drone Logistics:

Reducing Energy & Emissions in Last-Mile Delivery

Top Left: Comparison of drone models, showing range, flight time, and speed.

Top Right: Energy consumption vs. range, highlighting improvements with future drone battery technology.

Below: Airspace zoning diagram for small drone operations, showing flight paths, no-fly zones, and altitude limits.

Current delivery truck routes vs. proposed drone routes, comparing speed, time, energy consumption, and CO2 emissions.

Vertical Logistics:

Incorporating Autonomous Vehicles & Robotic Arms

EWR4 currently requires 28 trucks (142m x 22m), while the proposed tower reduces the need to 14 trucks (39m radius, 115m with parking). Drone operations handle 300,000 shipments daily, with 3,000 drones and a surface area of 10,125m².

Driverless trucks unload pallets using robotic arms, which transfer them to conveyors. The pallets are moved vertically by elevators, optimizing delivery within the automated fulfillment system.

Transforming Storage:

From Manual Restocking to Automated Fulfillment

Current horizontal program mats, which rely on manual restocking, are reconfigured by wrapping them around an elevator core. This design maximizes space and efficiency.

At the tower’s upper levels, pallets are transferred to conveyors and reduced into tote box stacks for long-term storage. In the short-term storage ring, totes are destacked, routed to robotic arms for item picking, packed into boxes, and dispatched by drones.

Vertical Compression:

Scaling Efficiency for Machine-Driven Spaces

Extracted system from pallet arrival to item departure, detailing the automation flow from delivery to fulfillment.

Steps for In-Stocking: Trucks with conveyor belts deliver pallets, which are unloaded by robotic arms and processed through the central elevator to long-term storage. Multi-tote shuttles retrieve stacked totes, which are then de-stacked and moved to short-term storage for item picking.

Visual Dissection:

Unveiling the Structural and Robotic Systems

Exploded axonometric diagram, revealing the building’s layers from bottom to top: horizontal slice, structural system, robotic tracks, machine points, and tote shelves.

Planimetric cut axonometric view, revealing the interior layout with robotic systems and tote storage.

Truck Unloading & Pallet Handling:

Trucks unload within four minutes. A robotic arm de-stacks pallets onto a conveyor, sending them to an elevator that moves them to the storage floor in under a minute. Long-term totes are stored until needed.

Pallet robot pickers handle the arriving pallets

Pallets are delivered via the central elevator

Tote picker selects tote boxes for transfer to short-term storage

Short-Term Storage & Drone Dispatch:

Items are picked by a smaller robot arm from short-term totes, packaged, and assigned a QR code. A drone scans the code, collects the package, and departs along its delivery route.

Robostows transferring stacked tote boxes

Item-picking robot arm packs the selected item

Drone on track, ready for departure

Previous
Previous

A Dream for a Techno-Natural State

Next
Next

Decentralized Economies