Robot Scheduling for Assistance and Guidance in Hospitals

At present, the global COVID-19 epidemic has not slowed down. To reduce the contact between people during the epidemic and prevent the epidemic from expanding, we have developed a robot to assist medical staff in patient guidance and communication services. The robot can provide an emergency contact so that users can immediately contact the counter for help. The user does not have face-face contact with the medical staff. When the robot encounters obstacles in the path of travel, the detected event and the time of occurrence are sent back to the back-end system. It also provides security personnel with real-time images and robot control rights to understand the situation and deal with it in real-time.

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Sparse Gaussian process regression for compliant, real-time robot control

2015 IEEE International Conference on Robotics and Automation (ICRA) ◽

10.1109/icra.2015.7139547 ◽

2015 ◽

Cited By ~ 7

Author(s):

Jens Schreiter ◽

Peter Englert ◽

Duy Nguyen-Tuong ◽

Marc Toussaint

Keyword(s):

Gaussian Process ◽

Real Time ◽

Robot Control ◽

Gaussian Process Regression

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The Design of Gluing Robot Control System Based on CAN Bus

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1006-1007.627 ◽

2014 ◽

Vol 1006-1007 ◽

pp. 627-630 ◽

Cited By ~ 1

Author(s):

Xu Dong Yang

Keyword(s):

Control System ◽

Real Time ◽

Software Design ◽

Robot Control ◽

Can Bus ◽

System Structure ◽

Reliable Control ◽

The Real ◽

Data Transferring ◽

Robot Control System

CAN bus was used as the data transferring channels in the two–level controllers, and the real-time,dexterity,expansibility and security for the Gluing control system based on CAN bus can be improved obviously.The system structure, principle and software design were introduced.The experiment shows that it is a reliable control system and it can meet the requirements of automatic gluing tasks.

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THE PREDICTION OF PARKING SPACE AVAILABILITY

Transport ◽

10.3846/transport.2020.14016 ◽

2020 ◽

Vol 35 (5) ◽

pp. 462-473

Author(s):

Helena Brožová ◽

Miroslav Růžička

Keyword(s):

Real Time ◽

Personal Communication ◽

Navigation Systems ◽

Parking Space ◽

Transition Matrices ◽

Communication Services ◽

Proposed Model ◽

Harmful Emissions ◽

Parking Lot ◽

Car Park

Intelligent Parking Systems (IPS) allow customers to select a car park according to their preferences, rapidly park their vehicle without searching for the available parking space (place) or even book their place in advance avoiding queues. IPS provides the possibility to reduce the wastage of fuel (energy) while finding a parking place and consequently reduce harmful emissions. Some systems interact with in-vehicle navigation systems and provide users with information in real-time such as free places available at a given parking lot (car park), the location and parking fees. Few of these systems, however, provide information on the forecasted utilisation at specific time. This paper describes results of a traffic survey carried out at the parking lot of supermarket and the proposal of the model predicting real-time parking space availability based on these surveyed data. The proposed model is formulated as the non-homogenous Markov chains that are used as a tool for the forecasting of parking space availability. The transition matrices are calculated for different time periods, which allow for and include different drivers’ behaviour and expectations. The proposed forecasting model is adequate for potential use by IPS with the support of different communication means such as the internet, navigation systems (GPS, Galileo etc.) and personal communication services (mobile-phones).

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