During an internship at a popular restaurant in New York, Megan saw waiters struggling with the workload, so she designed a service robot that could autonomously deliver food, avoid obstacles, and interact with customers through voice commands. She used ROS and LiDAR to build the navigation system and conducted multiple rounds of testing and performance optimization during peak hours. Test results showed that the robot could improve food delivery efficiency by 25%, significantly reducing staffing pressure.
Mentor Review
Megan demonstrated exceptional performance in robot navigation and human-machine interaction. She worked with STEMRise mentors to discuss path re-planning strategies for high-concurrency scenarios, ensuring the robot operates stably in real restaurant environments.
University Admission
Massachusetts Institute of Technology (MIT)
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