I am a Robotics Master's student in UCR with a passion for robotics and all its fields, where I constantly learn through projects that push my knowledge in robotics software like navigation and mapping, embedded design and mechanical design.

Skills: Robotics Operating System (ROS), C++, OpenCV, Navigation and Mapping, CAD

projects

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Leaf Picking Robot (Work in progress for Robotics Conference)

Current research project where my work consist of designing, building and implementing computer vision, mapping algorithms and manipulator control to extract a leaf from a tree

Artificial Intelligence: Behavioral cloning for a real-time lane following robot using camera feedback

Teaching a robot using behavioral cloning and neural networks to learn how to drive and follow the lane using only camera feedback

Research Paper at SPIE 2021

SPIE 2021 research paper called "Autonomous object manipulation and transportation using a mobile service robot equipped with an RGB-D and LiDAR sensor"

Motor control with embedded systems and ROS - C++ Nanodegree (Capstone Project)

A PID system for velocity control using ROS and Embedded microcontroller.

Multi-robot formation control architecture (Theoretical implementation)

Exploring how formation control over multiple robots both in 2D space and 3D space communicate to coordinate and follow a trajectory

Smart hydroponics monitoring system for urban cities

The implementation of a hydroponics systems with a monitoring system that allows the user to monitor important variables of their system and conditions to maximize crop yeild and health

Research Paper at SPIE 2020

Second Research paper presented , called " Mapping and navigation in an unknown environment using LiDAR for mobile service robots"

Inteligent Ground Vehicle Competition 2021

An international competition to create vehicles that go through obstacles while driving in a lane. Early stages of Robot Design (Inventor) and Simulation (ROS and Gazebo).

Research Paper at SPIE 2019

First Research Paper presented at SPIE 2019, with the aim to implement the A* algorithm and a LIDAR for obstacle avoidance.

Lane Following Robot

Lane following robot using OpenCV for visual processing and a PID control loop for steering. Implemented using ROS and a Raspberry Pi.

Arliss competition (2018 & 2019)

International Competition that consist of creating a rover that will be launched 4 miles into the air, deploy a parachute and navigate across the dessert to a waypoint.