MRAC.IAAC

MRAC.IAAC's repositories

ROSinGrasshopper

Tools for integrating ROS in grasshopper3d; based on docker, compas_fab, bengesht, etc.

Language:Dockerfile4 40

The Soft Robotic Gripper is a project developed during the Hardware I Seminar of the MRAC-20/21-program. The objective of the seminar is to give an overview of the state of the art in robotic actuation, discuss the practical implementation of such actuators, and brainstorm how these actuators and the robotic arms could bring new levels of versatility, agility, and efficiency to the production and construction processes.

Language:C++4 20

Hallucinating-Culture

H.2 HARDWARE II SEMINAR MRAC 20/21

Language:Jupyter Notebook300

Robotic-Mosaic

MRAC Workshop 2.1

Language:Shell3 40

Autonomous-navigation

To explore more potentials of ROS and how ROS can play important role in converting a normal drone to a mapping drone. the same is applicable to UGV and other robots. ORB_SLAM was used to generate point clouds in real time using a monocular camera. This has capability of loop closure, map saving and using same map to improve the quality of point cloud/model.

Language:Python2 30

Wearable-Assistive-Robotics

Language:C++2 3 1

BIMLinkBot

IAAC MRAC 01 - Sofware II Project using QR code tracking with a Turtlebot 2 to detect and map QR codes in 3D space

Language:Python1 20

Developable_Strips

Workshop using Rhino/GH/Kangaroo to design developable strips and the Robots plug-in for fabrication

1 30

DrawingBot

Language:Python1 30

Paraline

Language:C++1 30

Pavilion-Topology

Routes from Mesh Topology to Pavilion Designs via Rhino, GH and Kangaroo

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Robotic-Craft-Light-Metals

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SEWING-ROBOT

A sewing robotic effector to explore a dry and flexible connection of rigid materials

Language:C++1 20

SHEDIO

Drawing robot using arduino and raspberry pi4, wifi connection and a remote camera.

Language:G-code1 10

Sparse-Selection

The Project SPARSE SELECTION aims to create a process pipeline to optimize the creation of point-clouds with the more accessible use of photogrammetry.

Language:Python1 30