2025 SDSU Robotics Summer Camp

Date: July 14 – 21, 2025
Location: San Diego State University

The ExpandAI team enhanced this year’s Robotics Camp by introducing new training modules on robot autonomy, data science, Python programming, and artificial intelligence. These modules were developed using materials from the UCSD Data Science Discovery Bootcamp, bringing cutting-edge content and hands-on learning experiences to the camp. Supported by the NSF, SDSU College of Engineering, and the Talent Search Program, the camp provides an inclusive learning environment that combines creativity, teamwork, and technical exploration.

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Camp Overview

The 2025 Robotics Camp hosted 24 student participants from diverse high schools. Led by university professors and graduate mentors, campers explored robotics programming, drone control, and data analytics. The program blended lectures with practical design challenges, emphasizing problem-solving, leadership, and innovation.

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Learning Tracks

  • Scratch Programming: Students built custom games like Pac-Man and Mario Kart 2D Battle, learning core logic and coding principles.
  • Mega Robot Control: Teams assembled and programmed robots to perform precise motion tasks in a lab competition.
  • Tello Drone Control: Participants piloted and coded drones through flight missions and keyboard-based simulations.
  • Robotics Fundamentals: Led by Prof. Nikolay Atanasov (UCSD) and Prof. Junfei Xie (SDSU), students learned about motion planning and autonomous systems.
  • Energy & Cybersecurity: With Prof. Tong Huang and Prof. Chris Mi, campers explored renewable energy and secure system design.
  • Data Science Bootcamp: Prof. Jun Chen and Prof. Bryan Donyanavard taught Python, data analysis, and AI applications through interactive labs.
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Hands-on and Team Activities

Beyond coding and robotics, participants engaged in 3D printing, catapult design, and outdoor team-building exercises. These activities helped students apply engineering principles creatively while building teamwork and leadership skills.

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Robotics Competition

The camp concluded with an exciting robotics challenge, where students solved progressively difficult problems:

  • Problem 1 – Video Game Design: Create and present a Scratch-based game demonstrating creativity and functionality.
  • Problem 2 – Racing Car: Program an autonomous car to follow a complex track with precision and efficiency.
  • Problem 3 – Maze: Design a robot to find its way out of a maze as quickly as possible using logic and sensor control.
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Impact and Recognition

Every participant received a Certificate of Completion from Smile Lab, recognizing their achievement in robotics and data science. The camp not only provided technical training but also inspired students to pursue higher education and careers in engineering, computer science, and AI research.