Remote human-robot interaction

RI

Description

Regardless of the application, most of the remote interaction systems consist of the following basic components:

An operator interface, incorporating an interaction device that the operator uses to send control commands to the remote system. There are many types of interaction devices such as PCs, mobile devices such as Personal Digital Assistants (PDA) and mobile phones, speech-based communication, joysticks and haptic interfaces.

A mobile robot that performs the operator?s commanded actions at the remote site.

A communication scheme between sites. It is recommended that the communication scheme have a robust signal communication link with an acceptable time delay; dedicated data links with sufficient throughput; and an effective data loss-recovery approach. As mentioned previously, although Internet is a cheap, readily accessible communication medium, its performance has nondeterministic characteristics.

Feedback interfaces. Video transmission is commonly used to provide visual feedback for the operator. Video transmission demands high bandwidth availability. When this is not possible, computer-generated imagery supplies the operator with a virtual interface that combines low bandwidth sensory data to form a realistic image. These virtual interfaces are also useful to overlaying computer predictions or visual clues onto video images. Auditory feedback can also be used to enhance visual experience and human robot interaction. Although audio transmission requires low bandwidth, it is very sensitive to time delay and jitter. Other type of feedback can be provided using kinesthetic aids. Using haptic systems the operator can sense the response of its commands directly in the control interface.

Remote interaction systems can be used in many useful applications such as remote experimentation, teleoperation, teleperception, teleprogramming, etc.

Remote laboratories can be considered innovative environments, which can be used to provide remote interaction with mobile robots for educational and research purposes. They can be defined as network-based laboratories where the user and the real laboratory equipment are geographically separated and where telecommunication technologies are used to give users access to laboratory equipment. Such laboratories have the advantage that they are not restricted to synchronized attendance by instructors and students: thus they have the potential to provide constant access whenever needed by students.

In recent years, many researchers have built remote laboratories for mobile robots using similar architectures and implementation tools. Many such remote facilities can be put together to form a framework or a distributed laboratory that can be used to provide a coordinated set of experiments for students with hardware facilities physically spread over different locations, but accessible via the Internet. The project IECAT (Innovative Educational Concepts for Autonomous and Teleoperated Systems) in which RoboticsLab has participated is an example of such frameworks in the field of mechatronics. Such frameworks is an electronic workspace for distance collaboration and experimentation in research or in another creative activity, to generate and deliver results using distributed information and communication technologies. They assist in the exchange of existing hardware resources and educational materials between the partners.

Entries:
Signage system for the navigation of autonomous robots in indoor environments
IEEE Transactions on Industrial Informatics. num. 1 , vol. 10 , pages: 680 – 688 , 2014
A. Corrales M. Malfaz M.A. Salichs
Symbolic Place Recognition in Voronoi-based maps by Using Hidden Markov Models
Journal of Intelligent and Robotic Systems. , vol. 39 , pages: 173 – 197 , 2004
L. Moreno D. Blanco
Navigation of Mobile Robots: Open Questions
Robotica. num. 3 , vol. 18 , pages: 227 – 234 , 2000
L. Moreno M.A. Salichs

Entries:
An Android Interface for an Arduino Based Robot for Teaching in Robotics
6th International Conference of Education, Research and Innovation , 2013, Sevilla, Spain
J. Crespo R. Barber
Extended range guidance system for micro-tunnelling machine
International Symposium for Automation and Robotics in Construction 2012 (ISARC/Gerontechnology 2012). Vol. 11. Num. 2, 2012, Eindhoven, The Netherlands
A. Jardon S. Martinez Juan G. Victores
Use of RFID technology on a mobile robot fortopological navigation tasks
IEEE International Conference on RFID-Technologies and Applications, 2011, Sitges, Spain
A. Corrales M.A. Salichs
Autonomous Monitoring And Reaction To Failures In A Topological Navigation System
2nd International Conference on Informatics in Control, Automation and Robotics, 2005, Barcelona, Spain
V. Egido R. Barber M.A. Salichs
A Door Lintel Locator Sensor for Mobile Robot Topological Navigation
IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005, Sofia, Bulgaria
V. Egido R. Barber M.A. Salichs
A Planner For Topological Navigation Based On Previous Experiences
The 5th IFAC Symposium on Intelligent Autonomous Vehicles, 2004, Lisboa, Portugal
V. Egido R. Barber M.A. Salichs
Sistema de Interacción Remota con Robots Móviles basado en Internet I
I Jornadas de Trabajo: Educación en Automática. DocenWeb: Red Temática de Docencia en Control mediante Web, 2004, Alicante, Spain
A.M. Khamis R. Barber M.A. Salichs
Using learned visual landmarks for intelligent topological navigation of mobile robots
IEEE International Conference on Robotics and Automation, Taipei, Taiwan
M.A. Salichs
Corridor exploration in the EDN Navigation System
15th IFAC World Congress on Automatic Control, 2002, Barcelona, Spain
V. Egido R. Barber M.A. Salichs
Learning Visual Landmarks for Mobile Robot Navigation
15th IFAC World Congress on Automatic Control. Barcelona, Barcelona, Spain
M.A. Salichs
Self-Generation by a Mobile Robot of Topological Maps of Corridors
IEEE International Conference on Robotics and Automation, 2002, Washington, USA
V. Egido R. Barber M.A. Salichs
Mobile Robot Navigation Based on Event Maps
3rd International Conference on Field and Service Robotics, 2001, Helsinki, Filand
R. Barber M.A. Salichs
Mobile Robot Navigation Based on Visual Landmark Recognition
IFAC Symposium on Intelligent Autonomous Vehicles, 2002, Sapporo, Japan
M.A. Salichs
Algorithm of Topological Map Generation for the EDN Navigation System
IFAC Workshop on Mobile Robot Technology, 2001, Jejudo Island, Korea
V. Egido R. Barber M.A. Salichs
A Visual Landmark Recognition System for Topological Navigation of Mobile Robots
IEEE International Conference on Robotics and Automation, 2001, Seoul, Korea
M.A. Salichs
Navigation of Mobile Robots: Learning from Human Beings
Plenary Session. IFAC Workshop on Mobile Robot Tecnology, Jejudo Island, Korea
M.A. Salichs
An inferring semantic system based on relational models for mobile robotics
2015 IEEE International Conference on Autonomous Robot Systems and Competitions, 2015, Vila Real, Portugal
J. Crespo R. Barber O. M. Mozos
Detecting Objects for Indoor Monitoring and Surveillance for Mobile Robots
IEEE 2014 International Conference on Emerging Security Technologies, 2014, Alcalá de Henares, Spain
J. Crespo R. Barber C. Astua
A ROS-BASED MIDDLE-COST ROBOTIC PLATFORM WITH HIGH-PERFORMANCE
ICERI2015, The 8th annual International Conference of Education, Research and Innovation , 2015, Sevilla, Spain.
C. Gómez A. C. Hernández J. Crespo R. Barber
Object Classification in Natural Environments for Mobile Robot Navigation
IEEE, International Conference on Autonomous Robot Systems and Competitions (ICARSC), 16th edition, 2016, Braganza, Portugal
A. C. Hernández C. Gómez J. Crespo R. Barber
Integration of Multiple Events in a Topological Autonomous Navigation System
IEEE, International Conference on Autonomous Robot Systems and Competitions (ICARSC), 16th edition, 2016, Bragança, Portugal
C. Gómez A. C. Hernández J. Crespo R. Barber

Entries:
Robots Sociales
chapter: Modelado semántico del entorno en robótica cognitiva. Aplicación en navegación. pages: 145 – 166. Universidad Carlos III de Madrid , ISBN: 978-84-695-7212, 2013
J. Crespo R. Barber
The Industrial Electronics Handbook. Control and Mechatronics
chapter: 39. Mobile Robots pages: 1 – 13. CRC Press , ISBN: 978-1-4398-0287, 2011
M. Malfaz R. Barber M.A. Salichs
Progress in Robotics.
chapter: Integration of a RFID System in a Social Robot. pages: 66 – 73. Springer Berlin Heidelberg , ISBN: 978-3-642-03986, 1999
A. Corrales M.A. Salichs
RoboCity16 Open Conference on Future Trends in Robotics
chapter: Object Perception applied to Daily Life Environments for Mobile Robot Navigation pages: 105 – 112. Consejo Superior de Investigaciones Científicas Madrid, España , ISBN: 978-84-608-8452-1, 2016
A. C. Hernández C. Gómez J. Crespo R. Barber
RoboCity16 Open Conference on Future Trends in Robotics
chapter: A Topological Navigation System based on Multiple Events for Usual Human Environments Consejo Superior de Investigaciones Científicas Madrid, España , ISBN: 978-84-608-8452-1, 2016
C. Gómez A. C. Hernández J. Crespo R. Barber

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