The Art of Gate-Crashing

2009 ◽  
Vol 10 (3) ◽  
pp. 274-297 ◽  
Author(s):  
Helge Hüttenrauch ◽  
Elin A. Topp ◽  
Kerstin Severinson-Eklundh
Keyword(s):  
General Purpose ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Service Robot ◽  
Laboratory Studies ◽  
Service Robotics ◽  
Robot Interaction ◽  
Sensory Data ◽  
Spatial Management ◽  
Personal Robot

Special purpose service robots have already entered the market and their users’ homes. Also the idea of the general purpose service robot or personal robot companion is increasingly discussed and investigated. To probe human–robot interaction with a mobile robot in arbitrary domestic settings, we conducted a study in eight different homes. Based on previous results from laboratory studies we identified particular interaction situations which should be studied thoroughly in real home settings. Based upon the collected sensory data from the robot we found that the different environments influenced the spatial management observable during our subjects’ interaction with the robot. We also validated empirically that the concept of spatial prompting can aid spatial management and communication, and assume this concept to be helpful for Human–Robot Interaction (HRI) design. In this article we report on our exploratory field study and our findings regarding, in particular, the spatial management observed during show episodes and movement through narrow passages. Keywords: COGNIRON, Domestic Service Robotics, Robot Field Trial, Human Augmented Mapping (HAM), Human–Robot Interaction (HRI), Spatial Management, Spatial Prompting

Project Donaxi@HOME Service Robot

2013 ◽  
Vol 423-426 ◽  
pp. 2817-2820 ◽  
Author(s):  
Hector S. Vargas ◽  
Edson Olmedo ◽  
Aldo Daniel Martinez ◽  
Victor Poisot ◽  
Agustin Perroni ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Service Robots ◽  
Service Robot ◽  
Robot Interaction ◽  
Effective Implementation ◽  
Modular Software ◽  
Detection And Tracking ◽  
Home Service Robot ◽  
Home Service ◽  
Human Face Detection

Donaxi is a prototype to improve their different capacities in the area of service robotics. This paper describes the functional architecture design and the different modules that integrate it of the service robot Donaxi of UPAEP. Novel results are presented here in the area of face recognition; we propose theHybrid Algorithm to Human-Face Detection and Tracking UnrestrictedandIdentification of People on the Floor Due to a Fall or Other Accident. The robot Donaxi is used as a vehicle for research in control of movement and human-robot interaction. The at Home League of RoboCup provides an ideal tested for such aspects of dynamic in motion indoor, skills to manipulate objects, aptitudes to intergesticulate with the persons in natural language and more. A modular software architecture as well as further technologies have been developed for efficient and effective implementation and test of modules for sensing, planning, behavior, and actions of service robots.

scholarly journals Bender – A General-Purpose Social Robot with Human-Robot Interaction Abilities

2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Javier Ruiz-del-Solar ◽  
Mauricio Correa ◽  
Rodrigo Verschae ◽  
Fernando Bernuy ◽  
Patricio Loncomilla ◽  
...  
Keyword(s):  
General Purpose ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction

Vision-based Human-Robot Interaction Components for URC Intelligent Service Robots

2006 ◽  
Author(s):  
Keun-chang Kwak ◽  
Do-hyung Kim ◽  
Byoung-youl Song ◽  
Dae-ha Lee ◽  
Soo-young Chi ◽  
...  
Keyword(s):  
Human Robot Interaction ◽  
Service Robots ◽  
Robot Interaction

scholarly journals Robot Partner Development Platform for Human-Robot Interaction Based on a User-Centered Design Approach

2020 ◽  
Vol 10 (22) ◽  
pp. 7992
Author(s):  
Jinseok Woo ◽  
Yasuhiro Ohyama ◽  
Naoyuki Kubota
Keyword(s):  
System Integration ◽  
Industrial Sector ◽  
Human Robot Interaction ◽  
Service Robots ◽  
Smart Devices ◽  
Smart Device ◽  
User Centered Design ◽  
Human Communication ◽  
Robot Interaction ◽  
Development Platform

This paper presents a robot partner development platform based on smart devices. Humans communicate with others based on the basic motivations of human cooperation and have communicative motives based on social attributes. Understanding and applying these communicative motives become important in the development of socially-embedded robot partners. Therefore, it is becoming more important to develop robots that can be applied according to needs while taking these human communication elements into consideration. The role of a robot partner is more important in not only on the industrial sector but also in households. However, it seems that it will take time to disseminate robots. In the field of service robots, the development of robots according to various needs is important and the system integration of hardware and software becomes crucial. Therefore, in this paper, we propose a robot partner development platform for human-robot interaction. Firstly, we propose a modularized architecture of robot partners using a smart device to realize a flexible update based on the re-usability of hardware and software modules. In addition, we show examples of implementing a robot system using the proposed architecture. Next, we focus on the development of various robots using the modular robot partner system. Finally, we discuss the effectiveness of the proposed robot partner system through social implementation and experiments.

Learning from Demonstration with State Based Obstacle Avoidance for Mobile Service Robots

2013 ◽  
Vol 394 ◽  
pp. 448-455 ◽  
Author(s):  
A.A. Nippun Kumaar ◽  
T.S.B. Sudarshan
Keyword(s):  
Obstacle Avoidance ◽  
Service Robots ◽  
Service Robot ◽  
Mobile Service ◽  
Learning From Demonstration ◽  
Service Robotics ◽  
Mobile Service Robots ◽  
Novel Approaches ◽  
User Friendly ◽  
Mobile Service Robot

Learning from Demonstration (LfD) is a technique for teaching a system through demonstration. In areas like service robotics the robot should be user friendly in terms of coding, so LfD techniques will be of greater advantage in this domain. In this paper two novel approaches, counter based technique and encoder based technique is proposed for teaching a mobile service robot to navigate from one point to another with a novel state based obstacle avoidance technique. The main aim of the work is to develop an LfD Algorithm which is less complex in terms of hardware and software. Both the proposed methods along with obstacle avoidance have been implemented and tested using Player/Stage robotics simulator.

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