Learning with a friendly interactive robot for service tasks in hospital environments

Rafflin, C.; Fournier, Alain

doi:10.1109/iros.1995.525930

Cited by 5 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Takahashi [18] has been developing the MKR (Muratec Keio Robot), an autonomous Omni-directional mobile transfer robot system for hospital environment to support a delivery system. Rafflin and Fournier [19] presented FIRST, a Friendly Interactive Robot for Service Tasks, designed to carry heavy loads in hospitals. The uBOT-5 [20] is the result of project ASSIST, which can quietly follow its owner around the house, take care of the cleaning, give reminders about medication, help with shopping and make communication with doctors.…”

Section: Literature Surveymentioning

confidence: 99%

Remote patient physical condition monitoring service module for iWARD hospital robots

Mamun

Sharma

Hoque

et al. 2014

Asia-Pacific World Congress on Computer Science and Engineering

View full text Add to dashboard Cite

In this paper an intelligent system for remote patient physical condition monitoring service module for an Intelligent Robot Swarm for Attendance, Recognition, Cleaning and Delivery (iWARD) [1] is reported. The system algorithm and module software is implemented in C/C++, and the Orca robotics[2] components use the OpenCV[3] image analysis and processing library. The system is successfully tested on Linux (Ubuntu) platform as well as on a web server. The patient condition monitoring system can remotely measure the following body conditions: body temperature (BTemp), heart rate (HR), electrocardiogram (ECG), respiration rate (RR), body acceleration (BA) using sensors attached to the patient's body. The system also includes an RGB video camera and a 3D laser sensor, which monitor the environment in order to find any patient lying on the floor. The system deals with various imageprocessing and sensor fusion techniques. The iWARD patient condition monitoring module evaluation tests were carried out in front of thirty healthcare professionals (doctors, nurses, nursing lecturers and healthcare assistances etc) during the final review meeting of the consortium and in two teaching hospitals (in Newcastle and San Sebastian, 2009) in Europe. The post iWARD system improved upon the prototype by adding a 3D laser sensor and replacing the original camera with a high quality Pan-Tilt-Zoom (PTZ) camera and implementing the identity detection methods. This allowed for the use of more robust patient condition monitoring algorithms. The outcomes of this research have significant contribution to the robotics application area in the hospital environment.

show abstract

Section: Literature Surveymentioning

confidence: 99%

Remote patient physical condition monitoring service module for iWARD hospital robots

Mamun

Sharma

Hoque

et al. 2014

Asia-Pacific World Congress on Computer Science and Engineering

View full text Add to dashboard Cite

show abstract

“…Utilizing artificial landmarks offers the possibility of improving the reliability of the localization. Some approaches [3], [4] consider artificial landmarks that can be uniquely identified. Although such approaches greatly simplify the localization problem, they require a landmark coding and non-trivial identification system.…”

Section: Related Workmentioning

confidence: 99%

Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot

Meyer-Delius

Beinhofer

Kleiner

et al. 2011

2011 IEEE International Conference on Robotics and Automation

View full text Add to dashboard Cite

Abstract-Robust and reliable localization is a fundamental prerequisite for many applications of mobile robots. Although there exist many solutions to the localization problem, structurally symmetrical or featureless environments can prevent different locations from being distinguishable given the data obtained with the robot's sensors. Such ambiguities typically make localization approaches more likely to fail. In this paper, we investigate how artificial landmarks can be utilized to reduce the ambiguity in the environment. We present a practical approach to compute a configuration of indistinguishable landmarks that decreases the overall ambiguity and thus increases the robustness of the localization process. We evaluate our approach in different environments based on real data and in simulation. Our results demonstrate that our approach improves the localization performance of the robot and outperforms other landmark selection approaches.

show abstract

“…[Myers 1999] develops a teach-by-showing approach that monitors both sensor inputs to the robot controller and the control outputs from the controller during a training session to automatically generate sensor-based autonomous programs from taught motions. [ [Shimokura & Liu 1994], [Ogata & Takahashi 1994], [Jagersand & Nelson 1995], and [Rafflin & Fournier 1996]. Demonstration can also be used to train robots to perform at a higher level of abstraction.…”

Section: Teaching By Demonstrationmentioning

confidence: 99%

Active Research Topics in Human Machine Interfaces

McDonald¹

2000

View full text Add to dashboard Cite

This paper identifies active research topics concerning human machine interfaces for intelligent machine systems. The paper was compiled by performing a series of literature searches and organizing the information according to the author's interest in better directing his own Human Machine Interface (HMI) research. Introductory literature from outside the HMI communities is also referenced to provide context.

show abstract

Learning with a friendly interactive robot for service tasks in hospital environments

Cited by 5 publications

References 21 publications

Remote patient physical condition monitoring service module for iWARD hospital robots

Remote patient physical condition monitoring service module for iWARD hospital robots

Using artificial landmarks to reduce the ambiguity in the environment of a mobile robot

Active Research Topics in Human Machine Interfaces

Contact Info

Product

Resources

About