DEEP Robotics' Humanoid Robot Debuts in Xihu District, Exploring New Approaches to Smart Transportation

HANGZHOU, CN / ACCESS Newswire / October 8, 2026 / In early October, Hangzhou experienced continuous rain. With crowds and vehicles flocking to key scenic areas, commercial districts, and large-scale event venues in Xihu District, pressure on traffic management intensified significantly. Against this real-world backdrop, DEEP Robotics conducted field testing in early October, deploying a batch of DR02 humanoid robots for practical trials across diverse scenarios in Hangzhou's Xihu District. At Xixi National Wetland Park, the robots faced heavy visitor flows, testing their inquiry and guidance capabilities. At busy urban intersections such as Zheda Road and West Wenyi Road in Lingyin Subdistrict, the DR02 humanoid robots stood guard on the roads, testing functions including intersection From support during peak traffic periods to routine traffic duties, humanoid robots are gradually entering urban public service scenarios. For urban smart traffic management systems, a humanoid robot is not just an intelligent device that can "walk"-it is expected to become an intelligent terminal connecting perception, execution, and service. In the future, DEEP Robotics will continue to advance scenario-based applications and product testing of humanoid robots around real business needs, further enhancing their environmental perception, motion control, intelligent interaction, and task execution capabilities, and exploring applications in more scenarios such as traffic management, public services, and urban governance-providing new technological support for the digital and intelligent In early October, DEEP Robotics' humanoid robot conducted product testing in peak-hour road duty scenarios. Leveraging visual perception and intelligent recognition capabilities, the humanoid robot can identify behaviors such as e-bike riders not wearing safety helmets, illegal overloading, pedestrians crossing lines, and vehicles stopping beyond lines. It then issues safety reminders and advisories through voice and other means, assisting in maintaining on-site traffic order and eliminating traffic hazards-testing the efficiency improvement space from "robot participating in duty" to "robot-assisted on-site operations." "With many repetitive advisory tasks handed to the robot, we can devote more energy to accident handling and enforcement of key violations-work that requires more human