saslabstevens Goto Github PK

autonomystack

flightgoggles

A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT FAST Lab.

masc-architecture

This projects addresses unmanned aerial vehicle (UAV) navigation and path planning under engine-out case for landing under severe weather using a Multi-Level Adaptation approach. This is a milestone in a novel autopilot framework, which enables a UAV under large uncertainties to perform safety maneuvers that are traditionally reserved for human pilots with sufficient experience. In addition, we present a high-fidelity simulation environment for fixed-wing aircraft to test and validate the approach under various uncertainties. For the proposed Multi-Level Adaptation autopilot framework, we present the design and analysis as well as the simulation results for the case of emergency landing due to engine failure under severe weather conditions, a challenging task for an autonomous aircraft.

masc-offline-path-planning

This repository includes framework which is for landing trajectory prediction and feasibility evaluation for backup landing area

saslabstevens.github.io

swarm-drones-using-shape-vectors

telloswarm

[IEEE ICUAS 2022] Python scripts for swarming, formation control, and observer-based adversary detection for multi-UAVs (Tello Drones)

voxl2-sentinel-dev

voxl2 developement for data collection and event camera integration