cisprague

Astro.IQ

Machine Learning + Spacecraft Trajectory Optimisation

auvrl

Optimally controlling AUVs in the presence of obstacles with reinforcement learning.

Spacecraft_Testbed

Continually developing spacecraft test-bed, defining both the geocentric and interplanetary environment, and allowing novel innovations in spacecraft guidance, navigation, and control.

bts-2021

System identification for AUVs.

pybodhi

Behaviour trees in Python made easy!

dubins

Dubin's car planning challenge in pure Python.

pointnetkl

PointNetKL: Deep Inference for GICP Covariance Estimation in Bathymetric SLAM

imperium

Optimal Control and Machine Learning for Dynamical Systems

phd

Course requirements for a PhD in CSC at KTH

diffusion-practical-public

cisprague

Me!

cisprague.github.io

Personal website

Design_Optimization

Various tools and application demonstrations of advanced design optimization.

diffdock

Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

GPflow

Gaussian processes in TensorFlow

GPt

Gaussian Processes for Sequential Data

icra2019

imc_ros_bridge

🟢 Minimal library for bridging ROS and IMC messages

iros2019

old_site

sam_common

Public vehicle definitions for the SAM AUV, for example for simulation

simple_auv_planning

smarc_controllers

🟢 Controllers for the SAM and LOLO AUVs

smarc_missions

Behavior trees and such for different missions

smarc_msgs

Message definitions for the SMARC auvs

smarc_perception

Perception algorithms for underwater sonars and cameras

smarc_planning

High-level planning algorithms for the SMARC auvs

smarc_stonefish_sims

🟢 The SMARC simulation packages

smarc_utils

Common utils that are needed for different AUVs

vitae

CV