Research Publications Authored by SLIIT Staff

Now showing 1 - 4 of 4

Embargo
Train a Robot to Climb Staircase Using Vision-Base System
(Institute of Electrical and Electronics Engineers, 2022-09-16) Jayawardana, J.T.H.; Dilshan, H.V.V; Wijethilaka, R.G.K.H; Balasooriya, T.D; Rajapaksha, U.U.S; Harshanath, S.M.B.; Jayawardena, C
Currently, robots are used for different types of work, such as the manufacturing industry, healthcare, and the hotel industry. According to the current epidemic situation, the usage of robots was increased because of the need to reduce human interaction. As a result, they have to walk around the workplace, because of that, they may have to climb staircases. The world has many types of robots. Here the selected robot is a humanoid. This proposal is concerned with how to detect the staircase, count steps, get dimensions of it, and move the robot on it by keeping body balance. First, want to know what the objects are, then walk. The identified images from the image sensors will get as input. The technology stack that is used for image analysis is a method related to computer vision in deep learning. Other than that, while climbing the stairs robot needs to identify whether the staircase is over or not. Here we introduce a new concept: get the number of steps required to climb before climbing the stairs. It is related to how humans identify things by seeing and making decisions. The need to take the dimensions of the stairs is that when considering the stairs, they have their height, width, and range. Therefore, it is imperative to calculate the dimensions of each staircase separately. Creating a balance system similar to human balance is a great advantage in robotics. To implement such a system, there is an upright pose controller to allow the robot to walk stably by preventing tilting of the robot during walking on uneven floor. In general, for us to do that we need to calculate the global inclination of the floor is a key factor. It can be measured with a 2-axis accelerator meter, and it is installed in the inertial sensor.
Open Access
Local Positioning System for Indoor Robot Navigation
(researchgate.net, 2015-11) De Silva, T. S
Local positioning systems for indoor robot navigation are in a developing stage using different technologies and algorithms. Many researchers and engineers have focused in improving the accuracy of the local positioning systems. The main focused era of local positioning systems is to predict the position of a robot using known landmarks or transmitting devices located in the indoor system. Most of the local positioning systems are in the experimental stage and some are developed as marketable products after testing under different conditions. Matter of fact exact positioning of a robot in an indoor environment is a fundamental problem in robot navigation. These local positioning systems are helpful in such environments where global positioning systems are not functional to provide accurate information of the position of the robot. This paper describes a methodology that can be used in indoor navigation to determine the position of a robot. In the system developed ultrasound is used as the communication method. The system designed, consists with several transmitters which can emit ultrasound and a mobile receiver which is capable in receiving the transmitted sound. The ultrasound consists with frequencies above 20 kHz. These frequencies are beyond the sensitivity range of the human ear. Mostly these kind of signals are used by bats to find their path to fly avoiding the obstacles. In the developed system three ultrasound transmitters are used as the landmarks of the positioning system. One transmitter acts as the reference terminal in initiating the determining the process of the positioning system. The accuracy of the system is depend on the number of transmitters have been used. The minimum resolution of the developed system is 5 cm and tested up to 100 cm range in an obstacle free environment.
Embargo
Lounging with robots–social spaces of residents in care: a comparison trial
(Wiley Online Library, 2015-12-02) Peri, K; Kerse, N; Broadbent, E; Jayawardena, C; Kuo, T; Datta, C; Stafford, R; MacDonald, B
To investigate whether robots could reduce resident sleeping and stimulate activity in the lounges of an older persons care facility.
Open Access
Benefits and problems of health-care robots in aged care settings: A comparison trial
(WILEY, 2015-09-13) Broadbent, E; Kerse, N; Peri, K; Robinson, H; Jayawardena, C; Kuo, T; Datta, C; Stafford, R; Butler, H; MacDonald, B. A; Robins, B
Aim This study investigated whether multiple health-care robots could have any benefits or cause any problems in an aged care facility. Method Fifty-three residents and 53 staff participated in a non-randomised controlled trial over 12 weeks. Six robots provided entertainment, communication and health-monitoring functions in staff rooms and activity lounges. These settings were compared to control settings without robots. Results There were no significant differences between groups in resident or staff outcomes, except a significant increase in job satisfaction in the control group only. The intervention group perceived the robots had more agency and experience than the control group did. Perceived agency of the robots decreased over time in both groups. Overall, we received very mixed responses with positive, neutral and negative comments. Conclusions The robots had no major benefits or problems. Future research could give robots stronger operational roles, use more specific outcome measures, and perform cost–benefit analyses.

Research Publications Authored by SLIIT Staff

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