Programming

C++

C++ programming with robotics focus. Python PyBullet package for simulation.

• Convex Optimization - Linear and Quadratic programming
• Unconstrained Optimation - Gradient Descent to control a modified Dubin’s car
• RANdom SAmple Consensus (RANSAC) to fit points to plane
• Simplified Neural network using a series of matrix operations, with linear layers, ReLU and Softmax
• Search algorithms with collision detection
  • Hill-climbing search
  • BFS and DFS
  • Trajectory optimization with genetic algorithms
• PyBullet to simulate a robot manuipulator which performs a pick-and-place task
  • Lightweight Communications and Marshalling (LCM) for publishing goal pose
  • Jacobian-based Inverse Kinematics
• Shared pointers
• Multithreading, mutex

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Java

Fundamentals of computer programming in Java, with emphasis on applications in science and engineering

Individual Project

Sierpinski’s Triangle: Draw a Sierpinski Triangle using recursion

Final Pair Project

Helicopter: Recreation of the classic Helicopter Game with additional flying obstacles, with emphasis on proper object-oriented design and the implementation of a LinkedList

Home Screen

Game Play

Lost a Life

Additional Individual Projects

1. Guessing Game: Build a modified version of the game 20 Questions

• 2D arrays
• Selection and insertion sort conceptually/their implementations
• Understanding how recursion is used to search for specific elements in a dataset

2. Steganography: Write a program that can encrypt and decrypt text using a pseudo-random number stream, and hide and reveal messages into images

• Objects in Java
• Understanding the difference between static libraries and non-static objects
• Implement practical examples of bits and bitwise functions

3. Traveling Salesman: Create a program to find a path connecting n points that passes through each point exactly once by implementing two heuristics to find good (but not optimal) solutions to the traveling salesman problem

• Implement and use a linked list