The document discusses the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It outlines the laboratory's work with deep learning, ROS/MORSE simulation, force application, SLIM programming, SVM algorithms, tactile and force sensors, RFID, LRF, IMU, RGBD sensors. It also describes projects involving ROS-TMS, SmartPal V, and MORSE simulation. The laboratory researches topics such as grasping, localization, and navigation to advance robotics.
This document discusses robotics research being conducted at the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It lists three references used in their research - a 2014 paper on robot control in the IHI Engineering Review journal, a 2009 paper on robot motion planning in the IEEE Transactions on Robotics journal, and the use of MoveIt! and Blender software for robotics projects. The document provides brief information about the Robotics Laboratory and references used to support their work.
This document provides instructions for installing and building the Point Cloud Library (PCL) on an Ubuntu system. It outlines downloading dependencies using apt-get, adding a PCL PPA repository, cloning the PCL GitHub repository, and running cmake and make to build and install PCL. The document also lists some related topics like PostgreSQL, Kinect, deep learning frameworks, robot simulators, and motion planning software that can be used with PCL.
The document describes the various software tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It lists Ubuntu 16.04 LTS, PCL 1.8, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Protege 5.1.0, Apache 2.4.18, PostgreSQL 9.5.5, Webmin 1.820, and Tomcat 8.5.9 as some of the key software packages. It also provides brief descriptions and instructions for tools like VLC, Kinect, PCL, Jetson TK1, ROS Turtle Sim, MORSE,
The document discusses the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It outlines the laboratory's work with deep learning, ROS/MORSE simulation, force application, SLIM programming, SVM algorithms, tactile and force sensors, RFID, LRF, IMU, RGBD sensors. It also describes projects involving ROS-TMS, SmartPal V, and MORSE simulation. The laboratory researches topics such as grasping, localization, and navigation to advance robotics.
The document discusses setting up and configuring Webmin and Tomcat on a server. It provides instructions for installing Webmin and configuring its settings to allow access from localhost. It also provides instructions for installing Java, downloading and extracting Tomcat, creating a Tomcat user, and starting Tomcat so it can be accessed from localhost.
The document discusses setting up Apache web server and PostgreSQL database on a server. It provides commands to install and configure Apache to use a server name and set index files. It also provides commands to install and configure PostgreSQL, create a database and user, insert and query data from a table, then remove the table and database. The last page lists other technologies that could also be set up which include UIMA, MySQL and webmini.
This document discusses software and tools used in a robotics laboratory, including ROS, MORSE simulator, Blender, Python, and Protege ontology software. It also outlines concepts in ontologies like instances, subclasses, parts, and roles. Finally, it mentions Apache UIMA and webmini frameworks.
The document discusses a robotics laboratory at Wakayama University Graduate School of System Engineering. It lists the software used in the laboratory, including Ubuntu 16.04 LTS, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Pyenv, Anaconda 4.1.1, and Protege 5.1.0. It also mentions using the MORSE Simulator kitchen environment with a PR2 robot and the Protege Ontology tool.
This document provides information about software tools used in a robotics laboratory, including the MORSE simulator, ROS, Blender, Python, and the Protege ontology editor. It describes how to set up and configure these tools, edit simulation scenarios in MORSE, troubleshoot ROS package paths in Python, and access example ontologies in Protege. Setup instructions are provided for Ubuntu, ROS Kinetic, Blender, Python, and downloading and running Protege.
This document discusses setting up an environment for using MORSE simulator with ROS. It describes installing Ubuntu 16.04 LTS, MORSE simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2. It also discusses checking the environment setup, editing MORSE ROS tutorial scripts in Blender, resolving import errors for rospy by modifying the Python path, and finding the rospy package location.
This document provides an overview of the software and tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the use of 3 Kinect sensors, CNN, TensorFlow, Caffe and other deep learning tools. It also lists the software installed including Ubuntu 16.04, ROS Kinetic, Blender 2.76, Python 2.7 and 3.5, Pyenv, Anaconda and the MORSE simulator for developing and testing robotics applications.
The document describes the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the various software and tools used, including ROS, MORSE simulator, Blender, and Python. It provides instructions for setting up and using ROS, MORSE simulator, and controlling robots in a simulated environment using Python scripts.
This document discusses robotics research being conducted at the Robotics Laboratory of Wakayama University Graduate School of System Engineering. The laboratory is using a Leap Motion, Kinect, robot hand, and JETSON TK1 with soracom internet access to conduct research. References are provided relating to robot service initiatives, grasping techniques, and object discovery in 3D scenes via shape analysis.
The document discusses setting up and configuring Webmin and Tomcat on a server. It provides instructions for installing Webmin and configuring its settings to allow access from localhost. It also provides instructions for installing Java, downloading and extracting Tomcat, creating a Tomcat user, and starting Tomcat so it can be accessed from localhost.
The document discusses setting up Apache web server and PostgreSQL database on a server. It provides commands to install and configure Apache to use a server name and set index files. It also provides commands to install and configure PostgreSQL, create a database and user, insert and query data from a table, then remove the table and database. The last page lists other technologies that could also be set up which include UIMA, MySQL and webmini.
This document discusses software and tools used in a robotics laboratory, including ROS, MORSE simulator, Blender, Python, and Protege ontology software. It also outlines concepts in ontologies like instances, subclasses, parts, and roles. Finally, it mentions Apache UIMA and webmini frameworks.
The document discusses a robotics laboratory at Wakayama University Graduate School of System Engineering. It lists the software used in the laboratory, including Ubuntu 16.04 LTS, MORSE Simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2, Pyenv, Anaconda 4.1.1, and Protege 5.1.0. It also mentions using the MORSE Simulator kitchen environment with a PR2 robot and the Protege Ontology tool.
This document provides information about software tools used in a robotics laboratory, including the MORSE simulator, ROS, Blender, Python, and the Protege ontology editor. It describes how to set up and configure these tools, edit simulation scenarios in MORSE, troubleshoot ROS package paths in Python, and access example ontologies in Protege. Setup instructions are provided for Ubuntu, ROS Kinetic, Blender, Python, and downloading and running Protege.
This document discusses setting up an environment for using MORSE simulator with ROS. It describes installing Ubuntu 16.04 LTS, MORSE simulator 1.4, ROS Kinetic Kame, Blender 2.76, Python 3.5.2. It also discusses checking the environment setup, editing MORSE ROS tutorial scripts in Blender, resolving import errors for rospy by modifying the Python path, and finding the rospy package location.
This document provides an overview of the software and tools used in the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the use of 3 Kinect sensors, CNN, TensorFlow, Caffe and other deep learning tools. It also lists the software installed including Ubuntu 16.04, ROS Kinetic, Blender 2.76, Python 2.7 and 3.5, Pyenv, Anaconda and the MORSE simulator for developing and testing robotics applications.
The document describes the Robotics Laboratory at Wakayama University Graduate School of System Engineering. It details the various software and tools used, including ROS, MORSE simulator, Blender, and Python. It provides instructions for setting up and using ROS, MORSE simulator, and controlling robots in a simulated environment using Python scripts.
This document discusses robotics research being conducted at the Robotics Laboratory of Wakayama University Graduate School of System Engineering. The laboratory is using a Leap Motion, Kinect, robot hand, and JETSON TK1 with soracom internet access to conduct research. References are provided relating to robot service initiatives, grasping techniques, and object discovery in 3D scenes via shape analysis.