Unitree Go2

The global default research quadruped — ≈15 kg, ≈8 kg walking payload, 4D LiDAR onboard, from ≈$1,600 (Air) with the low-level SDK unlocked on EDU tier.

$1–5kAir ≈$1,600 · Pro ≈$2,800 · EDU POA — tier decides SDK and compute
Payload≈7–8 kg walking
Speed≈3.5 m/s (EDU ~5)
Pricefrom ≈$1,600
Price band$1–5k
MOQ1 unit
Lead time2–6 wks
Warranty12 mo
ExportAvailable for export
Last verified: 2026-07† Manufacturer-reported, not yet independently verified.

Full specifications

Last verified: 2026-07
MECHANICAL
Weight≈15 kg
Payload (walking)≈7–8 kg
Top speed≈3.5 m/s (EDU up to ~5)
Runtime1–2 h (8,000 / 15,000 mAh packs)
IngressSplash-resistant (consumer tier)
PERCEPTION & CONTROL
LiDAR4D LiDAR (360° × 96°) onboard
SDKLow-level joint control unlocked on EDU tier
COMMERCIAL
Price bandAir ≈$1,600 · Pro ≈$2,800 · EDU POA
MOQ1 unit
Battery paperworkUN 38.3 for lithium packs; order spares with robot

† Manufacturer-reported, not yet independently verified.

Fits with

Confirmed and manufacturer-claimed platform compatibility. We check your exact wrist and communication setup before quoting.

Livox Mid-360 / Unitree L2 mapping headsUnitree D1 arm (Go2 mount)

Supplier

Hangzhou Unitree Technology Co., Ltd. 杭州宇树科技股份有限公司Self-reported
Hangzhou, Zhejiang · est. 2016 · 500–1,000 employees

Unitree Robotics is a Hangzhou-based developer of high-performance quadrupedal and humanoid robots, widely regarded as the global volume leader in legged robotics. Its Go, B and A series cover consumer, research and heavy industrial duty, backed by in-house joint actuators, motion-control algorithms and an open SDK ecosystem used by universities worldwide.

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Downloads

Datasheet (PDF)
available after supplier authorization

FAQ

Air, Pro or EDU?

For RL and locomotion research the EDU tier is the product — it unlocks low-level joint control and high-compute options. Air/Pro are demo and education machines. 'Go2' spans $1,600 to $10k+; put the exact tier on the PI.

Why did labs worldwide standardize on Go2?

Price and published baselines: most locomotion-learning papers run on Go2 fleets, so new work inherits working configs, URDFs and controllers on day one.

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