Chinese humanoid robot tries to attack factory workers
Chinese humanoid robot tries to attack factory workers
Occurred: May 2025
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A humanoid robot at a Chinese factory malfunctioned during a test, violently flailing its limbs and nearly injuring nearby workers, sparking widespread debate about AI safety and robotics reliability.
During a routine capability test at an undisclosed factory in China, a Unitree H1 humanoid robot - suspended from a crane - suddenly lost control, wildly swinging its arms and legs.
The robot knocked over equipment, broke a computer, and forced two nearby workers to scramble out of its reach to avoid being struck.
One worker eventually managed to regain control by adjusting the robot's support structure.
The incident was captured on video and quickly went viral, drawing comparisons to dystopian science fiction and fueling concerns about the risks posed by advanced robotics.
Preliminary reports indicate that a coding or software error triggered the malfunction, causing the robot to move erratically and uncontrollably.
Such incidents highlight the technical challenges of developing complex humanoid robots, particularly the need for robust safety protocols, reliable control systems, and thorough testing to prevent unpredictable behavior.
Similar malfunctions have been reported in other advanced robotics settings, often traced back to software glitches or insufficient safety measures.
The incident underscored the dangers of working alongside powerful, autonomous machines, raised questions about oversight, safety standards, and the potential for unintended consequences as these technologies become more integrated into daily life and industry.
Humanoid robot
A humanoid robot is a robot resembling the human body in shape. The design may be for functional purposes, such as interacting with human tools and environments, for experimental purposes, such as the study of bipedal locomotion, or for other purposes.
Source: Wikipedia 🔗
Operator:
Developer: Unitree
Country: China
Sector: Technology
Purpose: General purpose
Technology: Computer vision; Robotics; Machine learning
Issue: Accountability; Safety
Page info
Type: Incident
Published: May 2025