Side-by-side comparison of EffiBOT (Effidence) and Tote-to-Person (Beijing Geekplus Technology Co., Ltd.) — specs, pricing, Robolist Product Score, and verified deployments. Updated daily.
Optimize comparison for buyer
Optimized for Hospitality & F&B buyers. Priority specs lifted to the top and marked with a target.
Manufacturer Country


Year First Available


Verified Deployments


Battery / Shift Runtime


Availability Status


Payload


AMR Subtype


Length


Width


Turning Radius


Min Aisle Width


Robot Weight


Navigation Type


Pedestrian Detection


Battery Chemistry


Battery Capacity


Charging Time


Safety LiDAR Coverage


![]() | ||
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | France | China |
| Year First Available (values differ) | 2015 | 2025 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Battery / Shift Runtime (priority for Hospitality & F&B buyers) (values differ) | 8 hrs | 2 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Payload & Form Factor | ||
| Payload (priority for Hospitality & F&B buyers) (values differ) | 500 kg | 304 kg |
| AMR Subtype (values differ) | unit load carrier | tote amr |
| Length (values differ) | 1,450 mm | — |
| Width (values differ) | 660 mm | — |
| Turning Radius (values differ) | 1,200 mm | — |
| Min Aisle Width (values differ) | 3,300 mm | — |
| Robot Weight (values differ) | 140 kg | — |
| Navigation & Sensing | ||
| Navigation Type (values differ) | slam natural | other |
| Pedestrian Detection (values differ) | Yes | — |
| Battery | ||
| Battery Chemistry (values differ) | li ion | other |
| Battery Capacity (values differ) | 1.6 kWh | — |
| Charging Time (values differ) | 3.5 hrs | — |
| Safety | ||
| Safety LiDAR Coverage (values differ) | 360 ° | — |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Price Range (USD), Ground Clearance, Localization Accuracy, Docking Repeatability, Obstacle Detection Range, Min Object Detection Height, Max Speed (Loaded), Max Speed (Unloaded), Picks / Hour / Robot, Runtime (Loaded), Opportunity Charging, Auto Docking, Battery Swap, Charge Cycles (Rated), ISO 3691-4 Certified, R15.08 Certified, Safety Category, Emergency Stops, Safety Zone Count, Audible Alert, WMS Integrations, API Type, Fleet Size Supported, Multi-Robot Traffic Mgmt, OTA Updates, Cybersecurity Certs, MTBF, Uptime SLA, Predictive Maintenance, Field Service Response, Spare Parts Lead Time, Price (USD), RaaS / Month, Pricing Models, Warranty, Expected Service Life
Frequently asked
EffiBOT is made by Effidence, based in FR. Tote-to-Person is made by Beijing Geekplus Technology Co., Ltd., based in CN.
EffiBOT launched in 2015. Tote-to-Person launched in 2025.
EffiBOT scores 46/100. Tote-to-Person scores 68/100. The Product Score blends specs, pricing transparency, verified deployments, and independent media coverage — see methodology for the full breakdown.
Both robots are classified as Amr Warehouse on Robolist. Filters and ranking treat them as direct alternatives.
Hardware cost is one input. Amr Warehouse TCO also includes integration, training, downtime, and end-of-life. Our breakdown: AMR TCO: Fleet Size, Charging Infrastructure, and WMS Integration.
Spec sheets only show part of the story. Useful vendor questions cover support, lifecycle, integration cost, and references. We have a buyer-focused checklist: AMR Vendor Selection: Orchestration, Integration, and Scaling.
Going deeper — picking the right robot
AMR TCO: Fleet Size, Charging Infrastructure, and WMS Integration
8 min readWarehouse AMRs
AMR Vendor Selection: Orchestration, Integration, and Scaling
9 min readWarehouse AMRs
AMR Pilot in an Existing Warehouse: The 90-Day Playbook
9 min readWarehouse AMRs
Build vs buy vs lease: which model fits a first deployment
8 min readChoosing Your First Robot
The hidden specs vendors hope you'll miss
10 min readReading the Spec Sheet
EffiBOT vs Tote-to-Person compares two robots in the amr-warehouse category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robolist Product Score is calculated.