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Hello there, I'm Federico Zappone

I am a computer vision, robotics and machine learning engineer.

My main interests are in the aerospace field (mainly atmospheric entry, autonomous descent and landing, and simulation) and planetary robotics which is what got me interested in computer vision during high school (especially stereo vision and reconstruction).

In those two areas I consider myself quite capable in solving and optimizing simple to moderately complex entry profiles and in the development of autonomous vision based wheeled or aerial robotics systems working in unknown environments.
Today I'm very interested in applying novel machine learning technologies, such as deep learning an deep reinforcement learning, to problems in both these disciplines.

Even though I'm very far from being an expert (or even remotely fluent for that matter) in the little free time at my disposal I find interest in high energy physics and I'm trying to study as much of it as I can.

Used to speedrun games with some of the best times in the world:

World of Warcraft Vanilla 1-60: 5 days 2 hours /played
World of Warcraft Classic 1-60: 4 days 6 hours /played (on launch)
Half Life 2: 2 hours 48 minutes (old engine)
The Elder Scrolls III: Morrowind: 6 minutes 18 seconds

I'm very curious about all things in life, science, and numbers.

Federico Zappone's Projects

bam_lift_modulation icon bam_lift_modulation

6-DOF system dynamics for lift-modulated (bank-angle modulation) aero-assisted vehicless

bear icon bear

Bear is a tool that generates a compilation database for clang tooling.

bevformer icon bevformer

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

cmake_build_system icon cmake_build_system

Tiny cmake-based sandboxing and build system with automatic cross dependencies and external packages management.

custom icon custom

Custom config files for NvChad v2

deep_flow_prediction icon deep_flow_prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

edl_sim icon edl_sim

Simulator for my paper "6DOF Simulation and Control of Lifting Atmospheric Entry, Descent and Landing Using Reinforcement Learning"

entry_vehicle_model icon entry_vehicle_model

6dof model of a generic vehicle entering the atmosphere of a rotating spherical planet

ewok icon ewok

Ewok: Real-Time Trajectory Replanning for MAVs using Uniform B-splines and 3D Circular Buffer

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

federicozappone icon federicozappone

Personal Github profile repository containing my bio and contact informations.

fprime icon fprime

F' - A flight software and embedded systems framework

gdb_tutorial icon gdb_tutorial

Simple tutorial for getting started with debugging with gdb.

hackerrank icon hackerrank

Collection of HackerRank solutions for future personal reference.

katoolin3 icon katoolin3

Get your favourite Kali Linux tools on Debian/Ubuntu/Linux Mint

libtorch_segmentation icon libtorch_segmentation

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

mars_spectrometry icon mars_spectrometry

Code for the NASA ML challenge: "Mars Spectrometry: Detect Evidence for Past Habitability"

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