Side-by-side comparison of AGIBOT G2 (Agibot Innovation (Shanghai) Technology Co., Ltd.) and TALOS (PAL Robotics) — specs, pricing, Robo Index, and verified deployments. Updated daily.
Optimize comparison for buyer
Optimized for Cleaning & Facilities buyers. Priority specs lifted to the top and marked with a target.
Manufacturer Country

Year First Available

Verified Deployments

Price Range (USD)

Battery / Shift Runtime

Availability Status

Weight

Height

Mobility Type

Humanoid Subtype

Walking Speed

Running Capable

Stair Climbing

Terrain

Payload

Payload (Peak)

Total DOF

Arm DOF

Hand DOF

Bimanual Coordination

Tool Use

Onboard Compute

Compute Platform

VLM Capable

Foundation Models

Imitation Learning

Teleoperation

Programming

Runtime

Battery Capacity

Charging Method

Battery Swap

Force-Limited Arms

Fall Recovery

Human Detection Method

Safe Speed Near Humans

SDK Languages

ROS Support

Simulation Platforms

Open API

Air-Gap Capable

Task Success Rate

Deployment Maturity

IP Rating

Price (USD)

Price Tier

Pricing Model

Production Pilots

Applications

![]() | ||
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | China | Spain |
| Year First Available (values differ) | 2025 | 2017 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Price Range (USD) (values differ) | Contact for quote | $900,000 USD |
| Battery / Shift Runtime (priority for Cleaning & Facilities buyers) (values differ) | 4 hrs | 1.5 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Weight (priority for Cleaning & Facilities buyers) (values differ) | 55 kg | 95 kg |
| Height | 175 mm | 175 mm |
| Mobility Type (values differ) | wheeled | bipedal |
| Humanoid Subtype (values differ) | wheeled humanoid | full bipedal |
| Walking Speed (values differ) | 1.9 m/s | 3 m/s |
| Running Capable | static walk | static walk |
| Stair Climbing (values differ) | none | production ready |
| Terrain (values differ) | flat_indoor, rough_indoor | rough_indoor, mild_incline |
| Payload & Dexterity | ||
| Payload (values differ) | 5 kg | 6 kg |
| Payload (Peak) (values differ) | — | 6 kg |
| Total DOF (values differ) | 26 | 32 |
| Arm DOF | 7 | 7 |
| Hand DOF (values differ) | 12 | 1 |
| Bimanual Coordination | full bimanual | full bimanual |
| Tool Use | production validated | production validated |
| Compute & AI | ||
| Onboard Compute (values differ) | 500 TOPS | Ubuntu LTS, Real Time OS |
| Compute Platform (values differ) | NVIDIA Jetson Thor T5000 | Intel Core i7 |
| VLM Capable (values differ) | onboard large | none |
| Foundation Models (values differ) | GO-1, WorkGPT, Genie | — |
| Imitation Learning (values differ) | multi task | No |
| Teleoperation (values differ) | joystick, web_interface | joystick |
| Programming (values differ) | no_code_gui, code_python, teleoperation | ROS Control, Ethernet, Research-grade interfaces |
| Battery & Power | ||
| Runtime (values differ) | 4 hrs | 1.5 hrs |
| Battery Capacity (values differ) | — | 1.1 kWh |
| Charging Method (values differ) | auto dock | — |
| Battery Swap (values differ) | Yes | No |
| Safety | ||
| Force-Limited Arms | Yes | Yes |
| Fall Recovery | Yes | Yes |
| Human Detection Method | multi modal | multi modal |
| Safe Speed Near Humans | software_defined | software_defined |
| Software | ||
| SDK Languages (values differ) | Python | C++, Python |
| ROS Support (values differ) | Yes | ros2 vendor |
| Simulation Platforms (values differ) | Genie Sim 3.0 | ROS |
| Open API (values differ) | open rest | closed |
| Air-Gap Capable (values differ) | Yes | — |
| Reliability | ||
| Task Success Rate (values differ) | 99 % | — |
| Deployment Maturity | production pilot | production pilot |
| IP Rating (values differ) | IP42 | — |
| Commercial | ||
| Price (USD) (values differ) | Contact for quote | $900,000 USD |
| Price Tier | 150K+ | 150K+ |
| Pricing Model (values differ) | capex, pilot_fee | — |
| Production Pilots (values differ) | Automotive seatbelt lock cylinder assembly, Consumer electronics precision tasks | — |
| Applications (values differ) | assembly, inspection, hospitality, warehouse_transport | Research platform |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Arm Reach, Grip Strength, Manipulation Repeatability, Charging Time, Avg Power Consumption, Fall Detection Response, Emergency Stops, MTBF, Noise Level, RaaS / Month, Developer Unit Price, Delivery Lead Time, Warranty
Frequently asked
AGIBOT G2 is made by Agibot Innovation (Shanghai) Technology Co., Ltd., based in CN. TALOS is made by PAL Robotics, based in ES.
AGIBOT G2 launched in 2025. TALOS launched in 2017.
AGIBOT G2 scores 30/100. TALOS scores 100/100. The Robo Index blends specs, pricing transparency, verified deployments, and independent media coverage — see methodology for the full breakdown.
AGIBOT G2 carries up to 5 kg. TALOS carries up to 6 kg.
Both robots are classified as Humanoid on Robolist. Filters and ranking treat them as direct alternatives.
Hardware cost is one input. Humanoid TCO also includes integration, training, downtime, and end-of-life. Our breakdown: Humanoid TCO: Hardware, Cloud Subscriptions, and the Cost of Teleop Time.
Spec sheets only show part of the story. Useful vendor questions cover support, lifecycle, integration cost, and references. We have a buyer-focused checklist: Vendor Selection for Humanoids: The 10 Questions You Must Ask.
Going deeper — picking the right robot
Humanoid TCO: Hardware, Cloud Subscriptions, and the Cost of Teleop Time
8 min readHumanoid Robots
Vendor Selection for Humanoids: The 10 Questions You Must Ask
10 min readHumanoid Robots
Running a Humanoid Pilot: Scope, Success Criteria, and Exit Options
9 min readHumanoid Robots
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
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AGIBOT G2 vs TALOS compares two robots in the humanoid category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robo Index is calculated.