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Record STMT-WA0177DAdvisory

https://selectcommitteeontheccp.house.gov/sites/evo-subsites/selectcommitteeontheccp.house.gov/files/evo-media-document/Unitree.pdf

Statement State lawNorthern America · USin force

This letter from members of the U.S. House Select Committee on the CCP urges the Secretary of Defense, Secretary of Commerce, and FCC Chairman to investigate the robotics manufacturer Unitree for alleged ties to the People's Liberation Army and military-civil fusion programs. The letter highlights security risks including undocumented remote access backdoors, data transfers to China, and the deployment of Unitree robots in sensitive U.S. infrastructure and law enforcement agencies. It requests that the administration consider designating Unitree under Section 1260H of the FY21 NDAA, adding it to the Entity List, and including it on the Covered List.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

Select Committee on the CCPLegislature · US
Lead issuer
Legal forceAdvisory
Under whose authorityState law
Judged fromfull text

Who it governs

National governmentRegulators

U.S. defense, commerce, and telecommunications agency leaders responsible for supply chain security and export controls.

Sectors
Defence and security · roboticsTelecommunications and digital services · remote access and digital infrastructure

What the document contains

What's covered

The document addresses national security risks associated with Chinese robotics manufacturers, focusing specifically on Unitree's military connections, technical backdoors, data privacy policies, and deployment within United States critical infrastructure and law enforcement.

What's missing

The document does not provide technical compliance guidelines, binding regulatory rules, or formal definitions for artificial intelligence or robotics.

Key takeaways
  • Members of Congress urge the Department of Defense, Department of Commerce, and FCC to investigate Chinese robotics manufacturer Unitree.
  • The letter cites Unitree's ties to the People's Liberation Army, state subsidies, and participation in military-civil fusion programs.
  • Researchers discovered an undocumented remote access tunnel called CloudSail on Unitree robots, creating potential cybersecurity vulnerabilities.
  • Unitree robots have been procured and deployed by various U.S. law enforcement agencies, state prisons, and defense installations.
  • The committee requests administrative actions including adding Unitree to the Entity List, the FCC Covered List, and Section 1260H designations.
Issued6 May 2025
Length2,026 words · 6 pages
FormatNot recorded
Scopenational

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Transparency

2/5

Openness about how AI systems work and are used

In March 2025, cybersecurity researchers reported that Unitree robots come pre-installed with an undocumented remote access tunnel called CloudSail.

Page 3

screening score · 2026-10-23

Enforcement

2/5

Consequences and compliance mechanisms with real force

We respectfully request that the Department of Defense, Department of Commerce, and Federal Communications Commission investigate Unitree’s role

Page 1

screening score · 2026-10-23

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

screening score · 2026-10-23

Topics

national_security robotics supply_chain surveillance military_civil_fusion
https://selectcommitteeontheccp.house.gov/sites/evo-subsites/selectcommitteeontheccp.house.gov/files/evo-media-document/Unitree.pdf · CEI AI Governance Database