Pinned Repositories
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
rescue
algorithms for resilient consensus and coordination of multi-agent systems with intermittent communication
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
Safe Autonomous Systems Lab at Stevens Institute of Technology's Repositories
SASLabStevens/TelloSwarm
[IEEE ICUAS 2022] Python scripts for swarming, formation control, and observer-based adversary detection for multi-UAVs (Tello Drones)
SASLabStevens/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.
SASLabStevens/MASC-offline-path-planning
This repository includes framework which is for landing trajectory prediction and feasibility evaluation for backup landing area
SASLabStevens/FlightGoggles
A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT FAST Lab.
SASLabStevens/AutonomyStack
SASLabStevens/rescue
algorithms for resilient consensus and coordination of multi-agent systems with intermittent communication
SASLabStevens/SASLabStevens.github.io
SASLabStevens/Swarm-Drones-Using-Shape-Vectors
SASLabStevens/voxl2-sentinel-dev
voxl2 developement for data collection and event camera integration