mazrk7 Goto Github PK
Name: Mark Zolotas
Type: User
Company: Northeastern University
Bio: Research scientist at Northeastern University.
Twitter: mazrk7
Location: Boston, Massachusetts
Blog: markzolotas.com
Mark Zolotas's Projects
constrained_manipulability
Constrained Manipulability is a library used to compute and visualize a robot's capacities in constrained environments.
discvae
A deep generative model that simultaneously clusters and disentangles latent representations of sequences.
disentangled-sequential-autoencoder
Variational Autoencoder for Unsupervised and Disentangled Representation Learning of content and motion features in sequential data (Mandt et al.).
easybreathe
Mobile healthcare app for elevated stress detection.
gmvae
Implementation of a Gaussian Mixture Variational Autoencoder (GMVAE).
machine_learning_resources
Machine learning resources (Jupyter notebooks mostly). Originally code to complement the "EECE 5644: Introduction to Machine Learning and Pattern Recognition" course taught at Northeastern University.
octomap_filter
ROS 2 package to filter an octomap representation of shape objects (including meshes) and publish the result.
octomap_mapping
ROS stack for mapping with OctoMap, contains octomap_server package
openxr-unity-mixedreality-samples
Sample Unity projects to demo how to use OpenXR plugin in Unity for HoloLens 2 and Mixed Reality headsets
p3at_teleop
ROS package for exercise on how to teleoperate a P3-AT robot using a joystick.
pandacapacityar
Unity HoloLens project to visualize Panda capacity calculations in AR.
reactive_assistance
A ROS package of a reactive obstacle avoidance method for navigation of mobile robots.
robot_collision_checking
A ROS interface to FCL collision checking
ros_kortex
ROS packages for KINOVA® KORTEX™ robotic arms
rviz_mesh_display
RViz Plugin to display ROS shape_msgs/Mesh as mesh
scan_image_converter
Converts a LaserScan message in ROS into an Image format.
spinworld
Final Year Project for MEng at Imperial College London.
tf_playground
Playground for designing and implementing models on TensorFlow.
tutorial_pub_sub
Tutorial code to go alongside the ROS lecture for Human-Centred Robotics at Imperial College London.
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