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G2 MaxNot Verified

135 000 USD

AgiBot logo humanoid guide

AgiBot

The AgiBot G2 Max is an upgraded, heavy-payload version of the G2 industrial humanoid — a wheeled, force-controlled task robot built for material handling, palletizing, and precision factory work, powered by NVIDIA Jetson Thor onboard AI.

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Specifications and details:

Availability In production
Nationality China
Website https://www.agibot.com/
Degrees of freedom, overall 50
Degrees of freedom, hands 24
Height [cm] 179
Max speed (km/h) 5.4
Strength [kg] 20
Weight [kg] 185
Runtime pr charge (hours) 4
Safe with humans Yes
CPU/GPU NVIDIA Jetson Thor T5000 (~2, 070 TFLOPS FP4) + Rhino R1 (~500 TOPS)
Ingress protection IP42
Camera resolution N/A
Connectivity 4G, 5G, Bluetooth, Wi-Fi
Operating system N/A
LLM integration Yes — runs VLA and LLM models on-device; LLM + RAG knowledge base for role switching
Latency glass to action Under 10 ms (multi-sensor stream processing)
Motor tech Electric servo actuators
Gear tech Harmonic / Planetary reducers
Main structural material Aluminum alloy frame with polymer shell
Number of fingers 2-finger gripping claws
Main market Industrial, logistics, Manufacturing
Manufacturer AgiBot
Platform Wheeled

Description

AgiBot unveiled the G2 Max at the World Artificial Intelligence Conference in Shanghai in July 2026. The company built it as an upgraded, heavy-payload version of its G2 “Genie” industrial humanoid. AgiBot calls it its first heavy-payload, force-controlled embodied task robot, and it targets demanding factory jobs. Rather than chase agility or crowd-pleasing stunts, AgiBot aimed this machine squarely at real production work. The robot handles material movement, palletizing, and other repetitive tasks that require both strength and a careful touch.

The G2 Max keeps the wheeled base of the original G2, and that choice is deliberate. A stable rolling platform holds the robot steady during precise assembly, whereas a walking gait would introduce vibration. Meanwhile, the freed-up weight budget goes into stronger arms and a higher payload. The robot also adjusts its working height, so it can meet a workstation instead of forcing the line to adapt to it. As a result, factories can slot the G2 Max into existing setups without rebuilding everything around it.

New Report

The Humanoid Robot Supply Chain

Supplier Strategy and Market Positioning 2026–2027

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New! 2026 Humanoid
Robot Market Report

198 pages of exclusive insight from global robotics experts — uncover funding trends, technology challenges, leading manufacturers, supply chain shifts, and surveys and forecasts on future humanoid applications.

Aaron Saunders
Featuring insights from Aaron Saunders, Former CTO of Boston Dynamics,
now Google DeepMind
Get the Report
New Report

Humanoid Foundation Models

The brains are being rebuilt

Get the Report

Underneath, the G2 Max runs on one of the strongest onboard AI stacks in the industry. It pairs an NVIDIA Jetson Thor processor with a dedicated chip for navigation and joint control. Because of that headroom, the robot runs large vision-language-action and language models directly on board, without leaning on the cloud. AgiBot’s Genie RL toolkit then lets operators teach new tasks in hours rather than weeks. Consequently, the robot fits high-mix production lines where products change often and downtime costs money.

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For now, AgiBot positions the G2 Max as a commercial industrial product rather than a research prototype. The company has already deployed earlier G2 units on live production lines, and it clearly wants the Max to follow. Still, the robot targets factories and integrators, not home users. AgiBot wants a dependable worker that shows up shift after shift and delivers consistent results. In that sense, the G2 Max reflects the company’s broader push: robots that factories can actually buy, deploy, and trust.

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Website: www.agibot.com

 

Advanced Humanoid
Forum 2027

Europe's humanoid robotics conference for physical AI validation, live robot demos, and industrial deployment.

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20–21
January 2027

Midnightbazar · Munich
Physical AI · Industrial validation

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