Difference between revisions of "RoCKIn2014"

Revision as of 18:45, 31 October 2013

RoCKIn Camp 2014

• Project Name:

• Official Web Page

RoCKIn@home 

• Project Codename

Watermelon

• Advisor:

Vicente Matellán Olivera

• Staff:

Technical software: Fernando Casado
Technical software: Víctor Rodríguez 
Technical software: Francisco Lera
Technical hardware: Carlos Rodríguez

• Other Information:
• Academic Year: 2013-2014
• SVN Repositories: soon...
• Tags: Augmented Reality, Elderly people, Remote-Assistance
• Technology: ROS, PCL, c++, svn, OpenCV, cmake, OpenGL, Qt, Aruco,
• State: Development

Project Summary

This challenge focuses on domestic service robots. The project aims to create robots with enhanced networking and cognitive abilities. They should be able to perform useful tasks such as helping the impaired and the elderly (one of the main goals of our group).

In the initial stages of the competition, individual robots will begin by overcoming basic individual tasks, such as navigating through the rooms of a house, manipulating objects or recognizing faces, and then coordinating to handle house-keeping tasks simultaneously, some of them under natural interaction with humans.

Robot

We want to take part in RoCKIn with the platform developed during the last two years in the Catedra Telefónica-ULE.

MYRABot robot.

Robot Hardware

1. iRobot Roomba 520
2. Dinamixel Arm (5x12a)
3. Wooden frame (yes, it is made of wood)
4. Notebook (Atom processor) (the display has been taken apart from the main body)
5. Kinect
6. Arduino Mega

Robot Software

1. ROS (robot control)
2. MYRA (C/C++, ArUCo, Qt, openCV)

Proposal

We want to develop and deploy minimal functional abilities to be part of RoCKIn 2014.

• Navigation
• Mapping
• People recognition
• Person tracking
• Object recognition
• Object manipulation
• Speech recognition
• Gesture recognition
• Cognition

We are going to separate the development in three phases:

1. Phase I: Initial Setup
2. Phase II: Integration and architecture
3. Phase III: Platform test
4. Phase IV: Improvements and complex tasks
   1. Technical Challenge: Furniture-type Object perception
   2. Open Challenge: Exhibit and demonstrate the most important (scientific) achievements

Phase I: Initial Setup

Outline: Tasks developed in this phase

Phase II: Integration and Architecture

1. Multiple kinect cameras in a PC

In this task we tested how to launch two different [openni cameras] in the same computer. This is an easy task if you know the shortcuts :D

The first problem: We have two differents cameras Xtion PRo and kinect. Xtion pro has a problem with

[ INFO] [1383245066.923739155]: Number devices connected: 1
[ INFO] [1383245066.923896787]: 1. device on bus 002:05 is a PrimeSense Device (601) from PrimeSense (1d27) with serial id ''
[ INFO] [1383245066.925020672]: Searching for device with index = 1
[ INFO] [1383245067.026459550]: No matching device found.... waiting for devices. Reason: openni_wrapper::OpenNIDevice::OpenNIDevice(xn::Context&, const xn::NodeInfo&, const xn::NodeInfo&, const xn::NodeInfo&, const xn::NodeInfo&) @ /tmp/buildd/ros-fuerte-openni-camera-1.8.6/debian/ros-fuerte-openni-camera/opt/ros/fuerte/stacks/openni_camera/src/openni_device.cpp @ 61 : creating depth generator failed. Reason: USB interface is not supported!

Non-Critical (but to-do)

1. Android/iOS Teleoperation
2. Desktop Qt interface
3. Create robot model for Gazebo
4. Create robot model for rviz (the same as Gazebo?)

Wishlist

• Computer with i7 processor, 8GB RAM, Nvidia GPU (1-2 GB)
• ASUS Xtion Pro Live Color RGB Sensor
• Roomba battery
• Arduino Mega (x2)
• Roomba base (520, 560)