vromerocano
Lecturer at Cardiff University | R&D manager at Rimac Technology | Robotics and machine learning professor at Universidad Autónoma de Occidente
Pinned Repositories
abb_irb1600id_support
ROS-I URDF, meshes, configuration files etc. for the ABB IRB1600ID industrial robot
bazel
Correct, reproducible, and fast builds for everyone.
centauri6dof
Manipulator robot based on BCN3DMOVEO with 6 degree of freedom (DOF) and user interface (GUI)
datasciencecoursera
This is the repository for the first assignment of the Coursera MOOC Data Scientist's Toolbox
datasharing
The Leek group guide to data sharing
DIGITS
Deep Learning GPU Training System
dnnWebinar
NVIDIA DriveWorks for Drive
docs-opmanual_duckiebot
LearningCPP
My notes while learning CPP
pcl
Point Cloud Library (PCL)
vromerocano's Repositories
vromerocano/abb_irb1600id_support
ROS-I URDF, meshes, configuration files etc. for the ABB IRB1600ID industrial robot
vromerocano/bazel
Correct, reproducible, and fast builds for everyone.
vromerocano/centauri6dof
Manipulator robot based on BCN3DMOVEO with 6 degree of freedom (DOF) and user interface (GUI)
vromerocano/datasciencecoursera
This is the repository for the first assignment of the Coursera MOOC Data Scientist's Toolbox
vromerocano/datasharing
The Leek group guide to data sharing
vromerocano/DIGITS
Deep Learning GPU Training System
vromerocano/dnnWebinar
NVIDIA DriveWorks for Drive
vromerocano/docs-opmanual_duckiebot
vromerocano/LearningCPP
My notes while learning CPP
vromerocano/pcl
Point Cloud Library (PCL)
vromerocano/recipes
vromerocano/template-ros-core
This is a template repository for building a new package in ROS on top of everything that already exists in the repository dt-core (which in turn includes everything that exists in dt-ros-commons)
vromerocano/tensorflow
Computation using data flow graphs for scalable machine learning
vromerocano/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
vromerocano/WRLR-workshop
Website of our IROS 2024 workshop: Standing the test of time: Retrospective and future of world representations for lifelong robotics