PBL
Amazon Robotics Project
Computer Vision and Robotics
Develop advanced computer vision skills to solve real-world problems in robotics, photography, human interaction, and smart home technologies.
Project
Amazon Robotics Project
Location
Online
Duration
8 Weeks
Upcoming Sessions
Nov. 10 - Jan. 04, 2026
Outcomes
Stereo vision techniques for 3D model reconstruction
Depth inference from 2D images
SLAM concepts for mobile robotics
Image de-blurring and enhancement
High dynamic range imaging techniques
You Will Get
Industry Guidance
Work directly with our project leads—experts and top researchers—who bring their real-world insights and expertise straight to your learning experience.
Research Experience
Collaborate with teammates and the project lead in a multi-week project to pursue novel questions in your research field.
Peer Networks
Engage with our PBL participants from all over the world. Collaborate with new peers and learn about their own research endeavours.
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A Strong Portfolio
Put your best foot forward in the PBL with a standout project and receive a PBL Evaluation Report that can be used as a recommendation letter for employers and grad schools.
Expert Guidance
Get personalized feedback to grow your research and innovation skills.
Deliverables
Real projects, lasting connections, and new opportunities beyond your program.
Project Deliverables
The final presentation of your 8 weeks could be a poster, written report, or a slide deck, all of which can be expanded on.
Research Extension
Utilize up to 5 additional meeting times with the project lead after the project’s conclusion to build your work out for publication or conference presentation.
Industry Network
Meet peers in your projects and participate in a global talent community both online and in-person.
Industry Application
Amazon Robotics utilizes computer vision to automate warehouse operations, such as transporting goods and scanning packages. This PBL aligns with industry applications by teaching students critical computer vision skills used in robotics, preparing them for real-world challenges in automation and smart systems.
Popular Industry Positions
Computer Vision Engineer
Develop vision algorithms for automated systems.
Robotics Software Developer
Implement vision-based navigation and interaction in robots.
AI Specialist
Design and optimize AI models for image processing and object detection.
Tracks
Track 1
Stereo Vision
In this track, students will learn to reconstruct a 3D model of a target object from conventional 2D camera images.
Reconstruct 3D models from 2D images using stereo vision techniques.
Explore the concepts of depth inference from 2D images.
Suitable for topics like SLAM (Simultaneous Localization and Mapping) and vision for mobile robots.
Ideal for students interested in fields like autonomous vehicles and robotics.
Track 2
Image Enhancement and Augmentation
In this track, students will address common problems in commercial photography and explore image augmentation techniques.
Solve issues like de-blurring, high dynamic range, and reflection removal using machine learning.
Learn about image augmentation to create variations for data training purposes.
Suitable for students aiming to work in companies like Apple, Google, and Samsung that focus on phone camera technology.
Track 3
Human Posture Detection
In this track, students will use computer vision to detect and classify human postures.
Recognize and analyze human body and face patterns, gestures, and scenes.
Understand human-machine interaction to improve applications like food delivery robots.
Detect human postures such as standing or sitting.
Suitable for students interested in the AI industry and human-machine interaction technologies.
Track 4
Furniture Detection
In this track, students will learn to detect and classify furniture using neural networks.
Understand the challenges of detecting large objects like furniture in various conditions.
Deal with practical issues like illumination, occlusion, and varying appearances.
Explore applications in smart home devices and indoor service robots.
Suitable for students interested in smart home technologies and indoor robotics.
PBL Journey
Online PBL Projects meet once a week for 8 weeks, and follow the research project format. Participants will meet the project lead, learn the conventions of the field and familiarize themselves with the tracks, then spend the middle portion of their time collaborating to develop their research.
At the end, participants will present their final project and receive feedback, with the opportunity to extend their timeline and develop the project in greater depth.
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Project Team
Our Academic Team plays a vital role in your PBL journey at Blended Learning. We are dedicated to enhancing your learning experience and ensuring your academic success. Our team consists of three distinct roles, each with a specific focus to support your Research Guidance, Project Progress, and Personal Growth.
Project Lead
Providing Industry and Research Guidance
Principal Computer Vision Engineer
The project lead of this PBL works at a consumer robotics tech company specializing in computer vision and robotics technology. She has 15 years of industrial experience in machine vision, computer vision, and robotics, applied in domains such as healthcare, smart home devices, factory automation, and agriculture. She focuses on applying computer vision technology to solve real-life problems, tackling challenges like complex lighting environments, new camera sensing technology, and edge computing on limited resource platforms such as embedded systems.
Academic Advisor
Tracking Your Project Development
The Academic Advisor is dedicated to your project completion success. They manage the progress of your PBL, guiding team formation, facilitating group discussions, and resolving conflicts. Additionally, the Academic Advisor ensures team member contributions are on track and provides logistical support, including attendance tracking, hosting recitation sessions, managing research support requests, and conducting student evaluations at the end of the PBL.
From Our Students
"After a night spent debugging, I suddenly discovered the program running perfectly. In that triumphant moment, you realize your true capability and success. The exhaustion fades, replaced by the thrill of knowing your skills and persistence led to this achievement, reaffirming your potential."
Nicole Y.
National University of Singapore
B.S. Economics
FAQs
What is the learning format of a PBL?
All PBLs are offered in an 8-week online format that begins with an orientation followed by subject setup overview of the different tracks. The majority of the session time is dedicated to project development, with a final presentation at the culmination of the 8 weeks. Many PBLs are also offered bi-annually in an on-campus format that consists of daily in-person meetings.
How long does each PBL cohort last？
One round of the Online PBL cohort lasts 8 weeks, preceded bys a pre-PBL orientation week. Each On-Campus PBL usually has 8 in person meetings, with intensive classroom education and collaboration. This means the biggest difference between online and on-campus PBLs is time participants have in between meetings.
How can I be more academically prepared before the PBL starts?
Review the Blended Learning Insights sent by the Academic Advisor and familiarize yourself with the project topic and pre-learning materials. Ensure you have all necessary softwares and other resources needed for the PBL.
For each PBL cohort, will I work in teams? Are PBL team members self-selected or assigned?
Yes, you will work in teams for each round of the PBL Cohort. Each team has 3 to 6 participants, organized by the Academic Team. The Academic Advisor will organize groupings based on students' backgrounds, preferred track, and skills.
Can I work with the Project Lead on my project after the PBL ends?
Yes, with your AI + X Research Plan, you may request up to five PBL Research Extension meetings, where you work with the project lead to develop your project into a working manuscript. To schedule a PBL Research Extension meeting, talk to your Academic Advisor at the conclusion of your PBL.
What do I receive at the end of the PBL?
At the conclusion of the PBL cohort, you can request a PBL Evaluation Report which summarizes the PBL content, the hours you spent, the track you chose, and includes a recommendation letter from the Project Lead (for eligible participants who completed the project successfully).
Is attendance mandatory for PBL Live Sessions and Recitation Sessions?
Yes, attendance is mandatory for both PBL Live Sessions and Recitation Sessions. Participants with three or more unexcused absences forfeit their eligibility for a PBL Evaluation Report.
Do I need to have my camera on during online PBL Live Sessions?
Yes, you must have your camera on during online PBL Live Sessions. Participants with cameras off will be marked as absent. This is meant to encourage active engagement and participation in meetings.
