VQV Signal

ROBOTS & HARDWARE WATCH TECHNICAL

AgiBot's Lingxi X2 humanoid handled 46,686 patient questions in 66 days at a Beijing hospital

According to a post on X by @yokoshaan, an AgiBot Lingxi X2 humanoid robot answered patient questions at the outpatient department of Peking University People's Hospital in Beijing. The questions covered which department to visit, how appointments work, medical insurance and directions. The post reports 46,686 questions over 66 days, about 707 a day on average and up to 1,420 on the busiest day. The robot is connected to Ant Group's medical AI and the hospital's own knowledge base, and the figures come from the company.

Source: Scobleizer News Pulse (X) · x.com Found via Robert Scoble’s Scobleizer News Pulse · a post on X, not independently verified Published 2026-10-28T00:45:00+00:00 Detected 2026-10-28T05:24:27+00:00
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According to a post on X by @yokoshaan, an AgiBot Lingxi X2 humanoid robot answered patient questions at the outpatient department of Peking University People's Hospital in Beijing. The questions covered which department to visit, how appointments work, medical insurance and directions. The post reports 46,686 questions over 66 days, about 707 a day on average and up to 1,420 on the busiest day. The robot is connected to Ant Group's medical AI and the hospital's own knowledge base, and the figures come from the company.

AI-assisted summary based on the listed source.

At the outpatient department of Peking University People's Hospital, an AgiBot Lingxi X2 answered questions about which department to visit, how appointments work, medical insurance and directions, about 707 a day on average and up to 1,420 on its busiest day. It is connected to Ant Group's medical AI and the...

The case shows a humanoid robot handling routine patient queries about appointments and insurance, tasks that depend on accurate hospital-specific information. Hospital operators, medical AI vendors and robotics companies may watch whether these volumes hold up over time. Because the numbers are company-reported, independent data on accuracy and patient outcomes would be the next thing to look for.

Hardware and robotics watchers may want to track whether this becomes a product, benchmark, or deployment signal.

Signal Strength 78% Technical label WATCH Public Interest 23 Category ROBOTS & HARDWARE Reader Depth TECHNICAL

Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.

Public Interest components
Recognizable Entity Score 0 Practical Impact Score 0 Novelty Interest Score 70 Consequence Score 10 Curiosity Score 36 Shareability Score 41

VQV surfaced this signal because it is recent, relevant to AI Search, connected to Scobleizer News Pulse (X).