Laboratory of Automation and Robotics (@lardemua)

Top repositories

1

atom

Calibration tools for multi-sensor, multi-modal robotic systems
Python
250
star
2

ros_bridge

ROS Bridge Driver for Carla Simulator package : https://github.com/carla-simulator/carla
Python
7
star
3

deep

A repository about the new laboratory AI computer
7
star
4

SmObEx

SmObEx is a package, made for my MSc thesis, that autonomously explores a given space
C++
6
star
5

atlascar2

Core packages for the LAR DEMUA Atlas Project
CMake
6
star
6

Robonuc

My Master's Thesis Repository - Mobile Manipulation of ROBONUC
C++
4
star
7

trajectory_planner

Local trajectory planner package
C++
3
star
8

geometric_optimization_for_3d_reconstruction

Master's thesis in the course Engenharia de Computadores e Telemática at University of Aveiro
Python
2
star
9

data-matrix-detection-benchmark

Benchmark for the detection of data matrix landmarks.
Python
2
star
10

free_space_detection

Deteção de espaço livre e fusão de dados LIDAR (criado por Diogo Correia)
C++
2
star
11

road_reconstruction

Road reconstruction and road boundary extraction
C++
2
star
12

zau

Repository used for calibrate the Zau mobile manipulator from INESC TEC
CMake
2
star
13

trajectory_planner_simulator

Local trajectory planner Gazebo simulator package
C++
1
star
14

atom_rviz_plugin

Development of an interface based on ROS-RVIZ for calibration systems
C++
1
star
15

global_planning

Navegação global
C++
1
star
16

ur10e_physical_data

Collected data to train-validate-test a neural network (for physical interaction classification)
1
star
17

VelocityObstacles

C++
1
star
18

larcc_drivers

C++
1
star
19

vscode-for-ros

How to setup a vscode for ROS development
Shell
1
star
20

car_frames

C++
1
star
21

Optimization

Python
1
star
22

maxon_des

This is a library to comunicate to the MAXON DES 70/10.
C
1
star
23

Multiple_AV

Simulation with multiple autonomous vehicles
C++
1
star
24

ros_mqtt_bridge

Python
1
star
25

faster-rcnn-data-matrix

This work presents an implementation of a Faster R-CNN model to detect Data Matrix. This architecture demonstrated quite accurate and consistent results by detecting the landmarks in almost all frames.
Jupyter Notebook
1
star