GALBOT

Wang He is a tenure-track assistant professor at Peking University’s Center on Frontiers of Computing Studies. His research focuses on embodied AI, 3D computer vision and robotics. He founded and leads the Embodied Perception and Interaction (EPIC) Lab and directs the PKU–Galbot joint laboratory on embodied AI. He earned his PhD from Stanford University in 2021 and his bachelor’s degree from Tsinghua University in 2014. [3][4] Why this background matters: Galbot’s research-led approach is closely connected to robot perception, learning and generalizable manipulation skills. However, academic credentials alone do not establish a commercial or technical advantage over competitors.

Beijing Nepstar pharmacy — named retail deployment: Beijing government sources identify the Danling Street branch of Beijing Nepstar Chainstore as a site using Galbot robots for medicine retail. The March 2026 licensing milestone supports a real operating setting rather than only a laboratory demonstration. [7][8] Evidence gaps: robot counts at each site and repeat deployments; independently verified uptime, picking accuracy and exception-handling rates; human intervention and remote-supervision requirements; cost per order, labour impact and profitability; and independently measured industrial productivity improvements.

Case context: In March 2026, the Haidian District Administration for Market Regulation issued a medicinal-product distribution licence to Beijing Nepstar Chainstore’s Danling Street branch. Local-government reporting described a formal rollout of embodied-intelligence robots in pharmacy retail. [7][8] Medicine retrieval: locating medicines on shelves and picking requested items. Order handling: scanning medicine information and preparing orders for handover or delivery. Inventory management: supporting checks and replenishment. Traceability and expiry management: collecting traceability-code information and flagging medicines approaching expiry. [7][8] What the evidence establishes: a named pharmacy and retail partner; a public licensing milestone associated with the robot-enabled pharmacy; and defined medicine-retail workflows described by local authorities. What remains unverified: independently audited order accuracy, uptime, task-success rates, cost per order, customer satisfaction and profitability. The sources do not establish that every step operates without human intervention. Why this case matters: a more concrete commercial example than a generic demonstration, connecting robots to a named operating site and regulated workflow. Its economics and performance should not automatically be extrapolated to other stores or industrial environments.