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Name: Francisco Granda

Type: User

Bio: Aerospace Engineer from the University of Toronto Institute for Aerospace Studies with a bachelor in Electrical Engineering.

Location: Toronto, Canada.

Francisco Granda's Projects

3d-object-detection-and-instance-segmentation

Implementation of object detection techniques using Python, a YOLOv3 detector, and OpenCV. Tested with the KITTI dataset.

aerosonde-uav-autopilot-and-control

Implementation and simulation of control techniques for an autopilot to complete various maneuvers with the Aerosonde Fixed Wing UAV model.

btss

Beyond the Solar System Project for observation and rendering of 3D models.

cessna-182-aircraft-autopilots-and-control

Development of various controllers and autopilots using classical and modern control techniques.

composite-laminate-design-and-failure-analysis

Testbench for composite laminate design and failure analysis using Tsai-Hill and Tsai-Wu criteria.

dp-algorithm-2d-robot-shortest-path

Implementation of DP algorithm to find shortest path in a 2D environment and output shortest time.

dp-algorithm-2d-vacuum-cleaner

Implementation of Dynamic Programming Algorithm for a Vacuum Cleaner robot in a 2D environment for optimal trajectory within obstacles and goals.

finite-element-analysis-t-bracket

Meshing and FEM of T-Bracket structure for simulation and analysis.

image-feature-detection-and-matching

Implementation of image feature detection techniques using Python and OpenCV with RANSAC for outlier rejection. Tested with KITTI dataset.

inverted-pendulum-dp-algorithm

Implementation of Finite Horizon Dynamic Programming Algorithm for Inverted Pendulum stabilization with unconstrained nonlinear dynamics.

linear-1d-robot-state-estimation

State estimation using batch linear Gaussian method (RTS Smoother) for a robot in a linear 1D environment using wheel odometry and telemetry from a laser ragenfinder.

lqr-ilqc-control-2d-mobile-robot

Implementation of Linear Quadratic Regulator (LQR) and Iterative Linear Quadratic Controller (ILQC) for a mobile robot in a 2D environment.

lqr-ilqc-controllers-3d-quadrotor

Implementation of LQR and ILQC controllers for a 3D Quadrotor model (AscTec Hummingbird) with via-points in trajectory.

model-predictive-controller-2d-mountain-car-problem

Implementation of Model Predictive Controller with system identification using Linear Regression and Bayesian Linear Regression for the benchmarking Mountain Car Problem.

motion-planning-for-dubins-vehicle

Implementation of Sampling based planners (RRT and RRT*) for 2D Dubins Vehicle.

multiple-object-tracking-with-kcf

Implementation of Visual Multiple Object Tracking with Kernelized Correlation Filters. Testing and benchmarking for paper.

n-tap-fir-filter

Implementation of modular N-Tap FIR Filter in Verilog with testbench using Vivado Design Suite.

nonlinear-2d-robot-state-estimation-ekf

Implementation of a recursive extended Kalman filter (EKF) for a robot in a 2d environment using wheel odometry and range/bearing measurements from a laser rangefinder.

nonlinear-3d-robot-state-estimation

Implementation of state estimation algorithms (Batch Gauss-Newton) for robot flying in a 3D environment using an IMU and stereo camera.

reinforcement-learning-mdp-grid-world

Implementation of reinforcement learning methods (Generalized Policy Iteration, Monte Carlo, Q-Learning) for a 2D Grid World Markov Decision Process.

reinforcement-learning-mdp-mountain-car

Discretization of continuous MDP (Nearest Neighbors and Linear Interpolation) for solving with reinforcement learning methods. (GPI)

spi-master-driver

Implementation of SPI Master Controller with Verilog and Testbench using Vivado Design Suite.

time-synchronization

Implementation of time synchronization for sensors with FPGA Xilinx board.

visual-sensor-fusion-depth-extraction

Implementation of sensor fusion techniques for LiDAR and Camera telemetry using Python and OpenCV. Tested with KITTI dataset.

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