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2021 ◽  
Vol 57 (2) ◽  
pp. 023004
Author(s):  
Paulo José Sena dos Santos ◽  
Josemar de Siqueira Vargas ◽  
Amanda Vogel Cé ◽  
Tiago Fernandes Perfeito Correia ◽  
Weslley de Oliveira Dias ◽  
...  

Abstract The difficulties in the interpretation of graphs in kinematics have been studied since the 1980s. To try to reduce students’ learning problems, the researchers point to the need for different didactic strategies, some with the use of new technologies. In this context, we present an experimental proposal that uses a line-following robot based on Arduino to teach graph interpretation in movements with constant velocity.


Author(s):  
Nawin Najat Mohammed ◽  
Zana Ahmad Mohammed ◽  
Ahmad Najam Faraj

2021 ◽  
Vol 2115 (1) ◽  
pp. 012006
Author(s):  
Ambreen Saniya ◽  
M S Chandana ◽  
Maria Sharon Dennis ◽  
K Pooja ◽  
D J Chaithanya ◽  
...  

Abstract A robot is a machine which is programmed by a computer and the movements and functions of which are controlled by an external or an embedded control. It has dynamic uses in all domains of life. A robot in a university setting can be used as an attender for passing circulars around instead of multiple attenders doing the task manually which is a cost and time consuming process. Parents often find it difficult to navigate through the unfamiliar university. In this paper, we have focused on a voice based attender robot with line following capabilities along with speech recognition that can be used at universities for a variety of purposes like passing around the circulars, interacting with parents and helping them navigate through the university through Spoken Natural Language. The main objectives of the proposed work is to reduce the burden of passing circulars, calling a student/faculty on the attender by designing a robot that is also competent enough to connect with human through spoken natural language such as English or Kannada, so that it interacts with parents who are new to the institution and do not know whom to approach. The main aim of this work is to introduce a robot that it is able to interact with human through the Spoken Natural Language. Here, the focus is on two languages; English and Kannada. This system uses a voice recognition module to recognize human voice and a voice playback module is used to reply back in either English or Kannada according to the user’s command. It can work in two modes, the voice recognition mode to answer to user queries or in line following mode to pass circulars, call student/faculty. In this way, the voice based attender robot finds its applications in the university setting. But it is not limited to only universities. It can also be further implemented in places like railway stations, bus stations, big factories and other similar surroundings.


Author(s):  
Wei Cao ◽  
Christopher Tran ◽  
Stuart K. Archer ◽  
Sandeep Gopal ◽  
Roger Pocock

2021 ◽  
Vol 1 (2) ◽  
pp. 1-8
Author(s):  
Chaithanya D.J ◽  
Ramya B ◽  
Aisiri A.P ◽  
Spoorthi S.P

A robot is a machine that has been programmed by a computer and has external or embedded control over its movements and activities. It has a wide range of applications in all aspects of life. A robot can be employed as an attender in a university setting to distribute circulars around instead of numerous people doing it manually, which is a costly and time-consuming method. The unfamiliar campus might be challenging for parents to navigate. In this review paper, we focus on a voice-based attender robot with line-following skills and speech-to-text recognition that may be utilized for several tasks at universities, such as passing out circulars, engaging with parents, and assisting them with navigation. The goal of this work is to create a robot that can communicate with humans using Spoken Natural Language. Two languages will be highlighted here: English and Kannada. This system employs a module that recognizes human speech, which is then processed and used to act or respond to the user's order. In this fashion, the voice-activated attender robot can be used in a university setting. However, it is not confined to universities. It can also be used in locations such as train stations, bus stops, large factories, and other similar settings.


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