Set technical direction for the navigation stack of a 100+ fleet of hotel and hospital

delivery robots with over 1.5 million deliveries

Implemented deep learning based visual place recognition for mislocalization detection

Implemented object detection for improved navigation in dynamic environments

Developed a novel framework for evaluating the autonomous navigation level of an indoor robot, inspired by the levels of automated driving framework for self-driving cars, published in The Robot Report

Helped launch Relay2, an improved delivery robot for hospitals that is currently operating in leading US hospital networks. Enhanced Relay2’s navigation safety and reliability for hospitals by evaluating and integrating new sensors and improving obstacle avoidance behaviors

Core part of a small team that developed Relay+, the next generation of Relay robot that has pioneered the capability of riding elevators autonomously as a human would without the need for any additional infrastructure or communication with the elevator. The product was named in the 𝐑𝐁𝐑𝟱𝟬 𝐦𝐨𝐬𝐭 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐯𝐞 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐬 𝐨𝐟 𝟮𝟬𝟮𝟮

Improve and maintain navigation performance for 100+ fleet of Relay delivery robots and ensure safe and people-friendly navigation

Developed custom calibration software for Kuri's novel depth sensor and worked on other navigation improvements (https://www.heykuri.com/)

Localization lead for the autonomous driving team