IJETMS LANDING PAGE

International Journal of Engineering Technology and Management Sciences

2023, Volume 7 Issue 2

AI FOR HUMAN ASSISTANCE

AUTHOR(S)

Dr.L.Suriya Kala, S.Nirmal

DOI: https://doi.org/10.46647/ijetms.2023.v07i02.018

ABSTRACT
A robot has been designed to assist humans in reaching their desired destination. The majority of people today are freshers and unfamiliar with new places. With very little to no awareness of the specific locations, people waste a lot of time navigating through the different available paths. This seems to be a drawback in an arena where all the focus is on getting instantaneous solutions to problems. So, our designed robots assist humans to travel the shortest distance from one place to another place. These types of robots are planned to be implemented in colleges, airports, supermarkets, and many other public places. In the present work, a path following control for assistance robots is designed. The driver is designed to help blind people reach a destination through a path. This work is on the premise that person must choose the moment when the robot must move due to its is using as support. Plus, a linear velocity is generated by an angular velocity which guides the person along the path, whenever the movement is desired by the user. A simulation is performed to verify that the operation of the controller is correct, and finally, experiments are performed on an experimental platform.

Page No: 143 - 153

References:

1) J. Rasmussen, "Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models", IEEE 'Transactions on Systems, Man, and Cybernetics, vol. 13, no. 3, pp. 257-266, May June 2021.
2) K. M. Passino, “Intelligent control for autonomous systems”, IEEE Spectrum, pp. 55-62, June 2017.
3) R. A. Brooks, “A robust layered control system for a mobile robot”, IEEE Journal of Robotics and Automation, vol. 2, no. 1, pp. 14-23, March 2018.
4) G. Schmidt et al., “Special issue: Research on autonomous mobile robots”, Robotics and Autonomous Systems, vol. 14, no. 2-3, pp. 83-246, May 2020.
5) Y. Wen, J. Hu, and P. Pagilla, “A novel robotic system for finishing of freeform surfaces,” in Proc. Int. Conf. Robot. Automat. (ICRA), Montreal, QC, Canada, 2019, pp. 5571–5577, doi: 10.1109/ICRA.2019.8793734.
6) M. Buss C. Fischer and G. Schmidt, “Hierarchical supervisory control of service robot using human-robot- interface”, in Proceedings of the International Conference on Intelligent Robots and Systems (IROS), Osaka, Japan, 2019, pp. 4.-8. November.
7) H. Stahl, J. Muller, and M. Lang, “An efficient top-down parsing algorithm for understanding speech by using stochastic and semantic models”, in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Atlanta, USA, 2016, pp. 397-400.



How to Cite This Article:
Dr.L.Suriya Kala, S.Nirmal . AI FOR HUMAN ASSISTANCE . ijetms;7(2):143-153. DOI: 10.46647/ijetms.2023.v07i02.018