TheseusRobotics

Autonomous Shelf-Restocking Robots for Retail

Precision robotic shelf replenishment designed for speed, 95%+ grasp reliability, and 24/7 uptime. Solving the “Last 30 Meters” inventory movement crisis in European retail stores.

Our Approach

The Power of Smart Constraints

Mastering the 20%.

Our platform is engineered around dexterous, repeatable shelf manipulation: high grasp success, precise placement, robust recovery from edge cases, and post-task verification.

We do this by targeting the highest-movement 20% of SKUs that drive ~80% of in-store handling.

This focus aims to guarantee 95%+ grasping reliability on day one.

Kinematic Simplicity

Specialized grippers designed for rigid cylindrical forms, reducing BOM costs and computational overhead.

Labor Evasion

Operates during night hours without triggering SECO's 10% time-compensation or steep night-shift wage supplements.

Rapid ROI

Achieves commercial viability years ahead of general-purpose competitors through vertically integrated, task-specific engineering.

Engineering

Technology

Dynamic Mapping

Proprietary Vision-SLAM using 3D LiDAR to navigate congested backrooms and aisles.

Active Stereo Depth Sensing

High-resolution stereo depth cameras for identifying shelf slots and placing items with reliable accuracy.

Human-Centric Safety

360° perception stack and pneumatic dampening for silent, safe operation in retail environments.

Technical Specifications

ComponentKey Specification
AMR Base (AgileX TRACER 2.0)150kg Payload · 2.0 m/s Max Speed · 9h Endurance
Robotic Arm (JAKA Zu 7)6-Axis DOF · 819mm Reach · ±0.03mm Repeatability
Depth Vision (Sunny Active Stereo)1280×800 Resolution · Global Shutter · 0.15m–5.0m Range
Onboard Display (10.1" IPS Touchscreen)1280×800 Resolution · Capacitive Touch · Real-Time Status & Diagnostics
Control OSTheseusCore (Built on ROS2)
Data Layer

Store Intelligence & Digital Twin

While restocking, Theseus Bot acts as a roving sensor, generating a real-time Digital Twin of your store.

Resolve Phantom Inventory

Reconcile physical shelves with ERP systems to eliminate stock errors caused by shrink and shoplifting (25,927 cases in 2024).

ESL Compliance

Automatically verify that Electronic Shelf Labels match system pricing and planograms, eliminating manual audits.

Revenue Recovery

Out-of-stock rates in grocery average around 8%. By improving overnight replenishment and shelf verification, we reduce lost sales and protect gross profit.