MOBO

MOBO

MOBO

TIMELINE

May-Aug 2024

TEAM

Effie Zhu

Hongming Li

Sam Lu

Batuhan Sutbeyaz

Bianca Zhuang

My ROLE

User Research

Technical Research

UI/UX Design

Prototyping

Project Managing

Storytelling

TOOL

Runway

Midjourney

Teachable Machine

TIMELINE

May-Aug 2024

TEAM

Effie Zhu

Hongming Li

Sam Lu

Batuhan Sutbeyaz

Bianca Zhuang

My ROLE

User Research

Technical Research

UI/UX Design

Prototyping

Project Managing

Storytelling

TOOL

Runway

Midjourney

Teachable Machine

TIMELINE

May-Aug 2024

TEAM

Effie Zhu

Hongming Li

Sam Lu

Batuhan Sutbeyaz

Bianca Zhuang

My ROLE

User Research

Technical Research

UI/UX Design

Prototyping

Project Managing

Storytelling

TOOL

Runway

Midjourney

Teachable Machine

DiDi Sponsored Project

UI/UX Design
HMI Design
AI/ML

Predictive,

Adaptive,

Inclusive

Predictive,

Adaptive,

Inclusive

Predictive,

Adaptive,

Inclusive

Predictive,

Adaptive,

Inclusive

Mobo is an AI-driven compact robotaxi designed to launch in San Francisco by 2030.

It predicts user needs, adapts to user preferences, and ensures a fast, convenient, and inclusive ride for everyone. The project was sponsored by DiDi Chuxing.

challenge

Given the brief to design a robotaxi for 2030 and launch it in an ideal city, our goal was to leverage future transportation with AI, machine learning, and sensor-driven driving while tackling new challenges.

Our Vision

DiDi Robotaxi is more than just a ride — it’s a shift in lifestyle.

Why San Francisco?

When choosing the ideal city for our robotaxi launch, we looked for a place with a real need for better transportation and a population with enough income to make robotaxi a viable daily transit option.

How is Current Ride Experience?

We researched the current ride-hailing service and identified its pain points to understand what our experience needed to deliver.

How AI & Machine Learning Can Help?

We wanted to tap into the opportunities AI and machine learning bring when sensors, LiDARs, and cameras play the role as a human driver in the vehicle. To explore non screen-based interactions between users and the robotaxi, we experimented with gestures and poses as inputs. As a proof of concept, we trained a model using Teachable Machine.

How might we reimagine mobility to provide an intuitive experience with tailored user preferences?

Flexible Seating

Mobo is a compact two-seater robotaxi. The main seat is placed between the wheels for maximum comfort, while the foldable second seat creates extra space when riding solo.

Reserve Ride for Your Schedule

Mobo App integrates with the user's calendar. When a user adds an event, our AI assistant automatically suggests reserving a ride for that event.

Guide To Your Car

For every ride, Mobo generates a unique PIN made up of colors and words, displayed on both the app and the front of the vehicle. This makes it easy for users to quickly identify their robotaxi.

Immediate Response

Users can interact with the robotaxi through conversation. Voice interaction feels more natural and intuitive than tapping buttons on a screen of a moving vehicle, making it easier and more accessible for our users.

Adapt to Your Needs

By using the front and side windows as HMI screens, the in-vehicle environment—such as visibility and brightness—automatically adapts to the user’s behavior and preferences. The user interface also adjusts to both internal and external conditions to enhance the experience.

Dark mode

Work Mode

Enhance Your Ride with Immersion

When the surrounding window screens dim, the robotaxi can provide an immersive experience throughout the ride. Users can watch movies, TV shows, or sports games on the screen.

Peek into the process...

Copyright © 2025 Effie Zhu. All Rights Reserved.

Copyright © 2025 Effie Zhu. All Rights Reserved.

Copyright © 2025 Effie Zhu. All Rights Reserved.