Yandex Expands Delivery Area with Robot Couriers in Moscow

Posted by By Dan Taylor 2 Min Read

Yandex has significantly expanded its delivery area for robot couriers in Moscow. These robots can now deliver food from restaurants and groceries in the international business center “Moscow City” and seven additional districts: Tverskoy, Presnensky, Lomonosovsky, Ramenki, Aeroport, Troparevo-Nikulino, and Fili-Davydkovo.

Enhanced User Experience

Users can select robot delivery in the Yandex Eats and Lavka apps when placing orders. This service supports over 200 stores and restaurants, including popular names like “Vkusno – i Tochka,” “Azbuka Vkusa,” “Teremok,” “Shokoladnitsa,” “Burger King,” and “Anderson.” The availability of delivery depends on the availability of a free robot at the time of ordering. Users can track the robot’s route in real-time via the app and open the robot’s lid to retrieve their orders.

Robot Capabilities

Yandex’s robot couriers are designed for deliveries within a two-kilometer radius. They navigate urban environments autonomously, using a combination of sensors such as lidars, cameras, and radars, along with HD maps for localization. The robots’ six-wheel design allows them to climb curbs up to 10 centimeters high. Neural networks enable the robots to recognize objects and make navigation decisions.

Performance and Expansion

Previously, robot deliveries were available in the Hamovniki district and Lesnaya Street. In 2023, these robots completed over 100,000 deliveries, with an average delivery time of 11 minutes compared to 8 minutes for human couriers. Yandex’s continuous innovation in delivery services highlights its commitment to enhancing user convenience and operational efficiency.

Dan Taylor
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Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.
Founder & Editor