Key Notes
- Hangxing No 2 humanoids supported police with traffic guidance, patrols and public information at the November 1 Hangzhou Marathon.
- DEEP Robotics described a deployment around four key locations near Huanglong Sports Center, with human officers handling complex situations.
- The deployment tests robots in a crowded public-service setting, where reliable guidance, obstacle handling and human oversight remain central.
Humanoid traffic robots joined police at the Hangzhou Marathon on November 1, helping direct pedestrians and provide information around the race’s starting area. The deployment put legged robots into a crowded public-service setting rather than a staged exhibition.
DEEP Robotics said its Hangxing No. 2 platform, developed with Hangzhou traffic authorities, supported operations at four key locations around Huanglong Sports Center. The stated duties included intersection monitoring, patrols, traffic reminders and public enquiries.
Robots at the Marathon Start
The manufacturer’s deployment account describes robots delivering spoken guidance and traffic gestures, with officers retaining responsibility for complex incidents. Local outlet Tide News also reported the robots’ appearance at the Huanglong Road and Shuguang Road intersection during the race.
The event brought together 36,000 runners across full and half-marathon distances. That concentration of participants creates changing demands as people arrive, cross nearby streets and leave the start area.
A fixed traffic instruction can be repeated by a machine, but the surrounding situation keeps changing. A blocked route, a confused pedestrian or an urgent request still requires a clear way to involve an officer.
Patrols With Human Oversight
DEEP Robotics describes preset-route patrols, obstacle avoidance and a safe standby mode when a passage cannot be traversed. These are manufacturer descriptions of the operating system, not an independent reliability assessment by RobotsBeat.
The distinction between assistance and autonomous policing matters. Giving directions and repeating a safety announcement are bounded tasks; deciding how to handle an emergency or resolve a dispute involves different responsibilities.
The useful operational question is therefore how much routine work the machines can absorb while remaining predictable around people. Measuring interventions, downtime and the accuracy of public guidance would provide a clearer picture than counting robots alone.
Part of a Wider Hangzhou Program
RobotsBeat previously covered Hangzhou’s traffic-robot squad. The marathon adds a specific event deployment to the city’s continuing work on robotic public services.
The city’s race preview also described drone-assisted emergency response with automated external defibrillators. Medical support and traffic guidance are separate applications, even when both form part of the same event plan.
This deployment is also distinct from the robot races discussed in our Beijing half-marathon coverage. Here, the machines supported the event rather than competing for a finishing time.
For future deployments, the most informative follow-up would be an operational summary explaining what the robots completed, where people intervened and how the system handled crowded conditions. Those results would help establish whether the approach can be repeated at other large events.
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