Robotics Engineering & Computer Science

Independent Projects Digital Library

Maker PortfolioProfessional engineers know that documenting their work is an essential part of the engineering process.  Clear, accurate documentation enables others to understand, replicate and build on existing work. This site is a digital library containing of SR students' notable projects.

adversarial adversarial
Defending Convolutional Neural Network-Based Object Detectors Against Adversarial Attacks
2nd Place of the Best Engineering Design at the 2020 IEEE Integrated STEM Education Conference
by Jeffrey Cheng and Victor Hu (both 11th graders)

Jeffrey - Princeton U. (Class of 2025). Victor - UC Berkeley (Class of 2025)

Their work shows that adversarial attacks are substantial threats to the safety of autonomous vehicles by tricking their object detection pipelines, but their effects can be mitigated by using a variety of defense methods. They duo utilized state-of-the-art image classification systems, including facial recognition systems, object detectors, and convolutional neural network (CNN).  Learn more

Due to the pandemic, the presentation was recorded as  voice video.

Two years prior to their high school graduatioh, both Jeffrey and Julian were active developers at SR Development group.

Navigating a Maze with Visual Victims (3rd Place in the 2019 World Robocup Junior/Pre-college - Maze League)
by Alex Lisenko, Jeffrey Cheng and Julian Lee (11th, and 10th graders)

Alex - R.P.I. (Class of 2024). Jeffrey - Princeton U. (Class of 2025). Julian - Yale U. (Class of 2025)

Jeffrey and Julian attended SR starting from their elementary school years. This project's goal is to autonomously navigate through a multi-levels maze composed of floors separated by ramps, and seek out the location of "victims" with computer vision. Victims, simulated by thermal devices and letter-represenation, are located at unpredicted locations throughout the maze. Their robot was able to "optimize" its path to reach all possible victims while navigating thru maze. Here is their presentation video at the 2019 World Robocup Jr. Syposium taken place at the Sydney in Australia.   Learn more

In the Summer of 2019, both delivered a tech-talk on this project at the World Symposium Event.   Here is a technical slide without audio..

2018 ZeroRobotics Tech Talk Videos (done in 2019):
by Jagdeep Bhatia (Gr.11th), Mayur Sharma (Gr.11th), Prateek Humane (Gr.12th), and Sunny Cheng (Gr.12th).

Jagdeep - MIT (Class of 2024).    Mayur - U. of Chicago (Class of 2024).    Prateek - McGill U. (Class of 2023).   Sunny - Rugters U. - Honors College (Class of 2023).

Group received the honor to deliver an oral presentation at the 2019 International Space Station R&namp;D Conference held in Atlanta, Georgia. Among almost 100 professional and research presesentors, only six of them were by high school students.
  • Highlight of Tech Info about 2018 ZeroRobotics -- by Sunny Cheng.
  • Navigation with Dijkstra -- by Jagdeep Bhatia.
  • The Physics and Math Work Behind -- by Mayur Sharma.
  • Automated Simulations with AWS -- by Prateek Humane.
  • Data Modeling used to maximize predictability -- by Sunny Cheng.
 View the Videos.

Ethan Wu Work
RobocupJunior Maze Bot with Computer Vision. (2018)
by Ethan Wu (11th grade) and Daniel Xue (10th Grade).

Daniel - U. Penn (Class of 2025). Ethan - UC Berkeley (Class of 2024).

Ethan Wu and Daniel Xue are two high school Junior and Sophomore. The duo’s work received Top Awards from 2017 and 2018 World Robocupjunior Tournaments. They have presented the project at the 2017 & 2018 Makerfaire flagship event, as well as the 2018 International RobocupJunior Symposium in Montreal.

Ethan started his first design of his own controller back at his 10th grade. He continued to improve it until Spring of 2018 - led his team to advance to 2017 and 2018 World Competition and won top awards for the team's hardware and software design. See the three versions of Ethan's creations .

From Fall of 2017 to Spring 2018, Daniel joined him and focused on the development of the computer vision control system, while Ethan continued to improve his own controller and robot design.

Their latest presentation ,in May 2019 at the USA RobocupJunior Competition Event, has received raving reviews from parents and competition teams mentors.

 Click here to watch their oral presentation.

  Click here to learn more from Ethan's work.

Customized Compact Robot (with Self-Design PCB ) (2016-8)
by Ethan Wu, 10th Grade)   Learn more

Ethan - UC Berkeley (Class of 2024).

Ethan created his own customized designed platform to participate in 2017 RobocupJunior Maze. At the Fall of 2016 to 2018, Ethan delivered tech-talks on this project at the World Makerfaire and exhibited his design.

Attempt SLAM with Image Processing to Generate Accurate 2-D Maps [Raspberry PI/Arduino] (2017-18):
by Alex Zhang (10th grade) and Sunny Cheng (11th).

Sunny Cheng - Rutgers U.- Honors College (Class of 2023).    Alex - Princeton U. (Class of 2024).

Alex has started his SLAM project to participate in the 2018 RobocupJunior Maze Tournament. He created his own designed robot since early 2017. Sunny joined to continue working on the letters recognition of the Maze Challenge with OpenCV.     Learn more

Both Alex and Sunny attended SR since 2013, and 2012 respectively. In the Fall of 2018, both delivered a tech-talk on this project at the World Makerfaire and exhibit their project to the public.

FanGo - Fan Propelled Robot (2016 to 2017)
by Ashley Yang and Bhavik Shah

Bhavik - Cornell U. (Class of 2020) / PHD Candidate at Stanford University (2021).    Ashley - UT Austin (Class of 2021).

Both Ashley and Bhavik attended SR from 2009 to 2017. In the Fall of 2017, Ashley will attend UT Austin majoring Mechanical Engineering; and Bhavik will enter Cornell University majoring computer science and engineering.     Learn more

In the Fall of 2017, both delivered a tech-talk on this project at the World Makerfaire and shared their exhibit.

Salil and Ashley entered University of Texas in Austin with engineering majors in 2016 and 2017 respectively.

Robots Formation (2015 to 2016)
by Prateek Humane and Neelay Trivedi  Learn more

Neelay - Stanford U. (Class of 2023).    Prateek - McGill U. (Class of 2023).

Here is their presentation slide

Link to the portfolio webpage.

Prateek Humane and Neelay have attended at SR starting from their 4th, 5th grade respectively. In the Fall of 2016, both delivered a tech-talk on this project at the World Makerfaire and shared their exhibit.

Prateek entered McGill University and Neelay entered Stanford University. Both studied in one of the engineering fields as well as computer science.

PI-controller Line Tracker (2016)
by Reetom Ghosh
 Learn more

Reetom - Purdue U. (Class of 2020).

Reetom attended SR from 2013 to 2016. In the Fall of 2017, Reetom entered Purdue University majoring Mechanical Engineering.

A-Cart Algorithm Design (2016)
by Alex Zhang  Learn more

Alex - Princeton U. (Class of 2024).

Alex has attended SR since his 7th grade.

Soccer Robot (Exploration with Machine Learning) (2015-2016)
by Luke Dai (12th Grade)  Learn more

Luke - UC Berkeley (Class of 2022).

Luke created this project for the participation of 2016 RobocupJunior Soccer Tournament. Luke attended SR from 2009 to 2016. In the Fall of 2017, Luke entered UC Berkeley majoring computer science.

Computer Science Projects

Daniel - Lafayette College (Class of 2022).
Daniel has created his own website to discuss a few of his favorite algorithms. He has already planned to pursue Ph.D. to become a professor. He entered Lafayette College in 2018 with a handsome scholarship.  Learn more.

Ricson Cheng (2013 to 2015)
- Carnegie Mellon University with major in Computer Science (Class of 2019).
Here shows  three of Ricson Cheng's most accomplished computer science projects while he was attending SR:
  • GPS Multi-agent Robotics Project. (Spring of 2015)
  • Segmented Sieve of Eratosthenes. (2014)
  • Quicksort with Tripartite Partitioning. (2013)
 Learn more