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Woman hospitalized after being startled by humanoid robot: "Are you crazy?"
A humanoid robot used for promotion startled a woman, causing brief hospitalization; police advised the operator to be cautious and did not confiscate the robot.
- On March 18, 2026, Macau police said a humanoid robot startled an unnamed woman on an evening walk, briefly hospitalising her, the incident was reported to AFP.
- Mak Kin Choi, head of the education centre, said the humanoid robot was operated by a Macanese man in his 50s testing it for promotional activities, which recently drew positive feedback.
- Video widely shared on social media shows the humanoid robot resembling a Unitree model waving metallic arms as the unnamed woman angrily confronted it and onlookers gathered.
- Police said they received a call after a woman was startled by a robot behind her, and officers led the robot away, stressing they 'did not seize' it while warning the operator to avoid causing danger or alarm.
- Amid a national push, Beijing encourages firms to develop humanoid robots, which perform dexterous acts but remain mostly pre-programmed or remotely operated displays.
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13 Articles
13 Articles
An unusual incident occurred in Macao where a passerby ended up hospitalized after being scared by a humanoid robot.
·Paris, France
Read Full ArticleA woman was briefly hospitalized in Macao after being scared by a humanoid robot while she was walking, police told AFP on Wednesday.
·Montreal, Canada
Read Full ArticleIt all started at 9:00 PM outside a residential complex in Macau, China. A 70-year-old woman was strolling for her leisure, stopping to check her phone messages, and when she turned around, she was horrified to discover an advanced robot (a Unitree G1 model - a humanoid robot designed to resemble a human body) standing right behind her in exemplary silence. In the video that went viral, the terrified woman is seen waving her bag at the robot and…
Coverage Details
Total News Sources13
Leaning Left1Leaning Right3Center2Last UpdatedBias Distribution50% Right
Bias Distribution
- 50% of the sources lean Right
50% Right
L 17%
C 33%
R 50%
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