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Blue Rover-A Multi Featured Robo
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 464 Blue Rover-A Multi Featured Robo Akash Mishra1, Somil Gupta2, Yash Tandon3, Abhishek Sharma4 1,2,3 Student, Dept. of Electronics and Communication Engineering, IMS Engineering college, Ghaziabad, India 4 Asst. Professor, Dept. of Electronics and Communication Engineering, IMS Engineering college, Ghaziabad, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - In this paper, an outline of humanârobot associated communication is shown, covering verbalaswellas non-verbal aspects. Showing, historical introduction, and motivation towards fluid humanârobot communication, ten objectives are proposed, which provideamanagerialaxisboth to recent as well as of future research on humanârobot communication [1]. So, here we are using an android smartphone as a device for communication. Ourrobo isableto understand the commands given and then perform the operations accordingly without any physical interaction. The robo is integrated in such a way that it can avoid obstacle which comes in its path by changing the direction or stopping to prevent unwanted collision. It is a four-Wheel Drive. These types of projects are persuaded by, Space Organization and Defense Institution, such as, NASA, ISRO, DRDO for the various projects. The chief research organization of everycountry, has special cell working on modern technologies in the area of Robotics and Unmanned systems. They use various voice recognition such as GOOGLE software [11] to covert speech into text command which is easily interpreted by the microcontrollers. Key Words: Verbal, Non-verbal, Humanârobot interaction, Ultra-sonic sensor, SD card (Secure Digital card) module, Bluetooth module, Arduino, MCU (Micro- controller Unit). 1. INTRODUCTION In the beginning, first modern-dayindustrial robot,Unimate, was initiated by General Motors for its assemblylinein1961 and was imagined in 1954 by George Devol. The conceptofa robot has a very long history, starting in mythology and folklore, and the first mechanical predecessors (automata) having been constructed in ancient times [2]. The robot is capable of understanding voice commands, answering simple questions, controllingasa Remote-Control car (RC car) through Internet as it is IOT based and avoids obstacles while moving. It is controlled through a smart- phone and computer which is connected to it through Bluetooth or through Internet. Based on Android features such as Google Voice Recognition, it can act like a tremendous & smart robot. I added BLUE in its name because it is based on Bluetooth. Blue Rover is a mobile robot whose motions or actions can be controlled by the user by giving specific voice commands or AT commands. The speech is received by a microphone and processed by the internal voice module of phone. When a command for the robot is identified, then voice module sends a command message to the robotâs microcontroller. The microcontroller will assay the given message and takes appropriate actions. When we say voice control, the first term to be considered is Speech Recognition i.e., making the system to understand human voice. The whole working of this prototype is explained through flow chart as shown in figure 1. Fig.:1 Working of Blue-Rover 2. DESCRIPTION 2.1 Voice Control Theory The robot can understand voice commands through an android phone via Bluetooth. As we are familiar with Google Text to Speech, the feature of Androidsmartphonewhere we speak the words and Google coverts it into text. The same feature is used here for recognizing voice commands and converting them into text commands.Theappwill transform speech to text through Google and sends it to the robot through Bluetooth. The robot is programmedtofollowthese commands received by the user through Bluetooth. It is also capable of answering some specificquestionsaswestoredin SD card. You can even add some more commandsinthecode to make the robot capable of doing some more awesome things [9].
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 465 2.2 Internet Control Theory The robot is also able to be controlled through an Internet with the help of ESP8255/66 Wi-Fi module. In this, the various commands (i.e. AT Commands)issenttothe robotto make him perform various appropriate actions. For sending various commands through internet we are using thing speak online server [4][6][8][9] [10]. The corresponding module is shown in figure 2. Fig.:2 ESP8255/66 Wi-Fi Module 2.3 Bluetooth control Theory There are different keys in the app, which can be used to send the commands by customized those keyswithdifferent characters. When any key is touched, a task or command on that particular key is sent to the robot through Bluetooth. Further, the different commands are sent when the respective keys are pressed, and the robot follows the received commands [3][6]. HCâ05 module is an easy to use Bluetooth SPP (Serial Port Protocol) module, designed for transparent wireless serial connection setup. The HC-05 Bluetooth Module can be used in a Master or Slave configuration, making it a great solution for wireless communication. The corresponding module is shown in figure 3. Fig.:3 HC-05 Bluetooth Module 2.4 Obstacle Avoidance Theory In this mode, the robot works as an Obstacle Avoidance robot, prevents itself from colliding with any type of object (especially solid). This is done by using HC SR04 sensor. The HC SR04 sensor continuously emits ultrasonic soundwaves. These waves get rebound back after striking a solid surface and come back to the sensor. The time taken by the waves to arrive back to the sensor is recorded [5][8]. The working of this module is illustrated in figure 4. Fig.:4 HC SR04 Ultra-Sonic Sensor 2.5 Preparing the Voice Module The robot is able to answer the respective question or command with the help of SD card module. The module is used to store voice files for the robot in the WAV format. When any question is asked, the MCU will search the corresponding question and make them play the respective voice file from the SD card as an answer. There are four serial data lines on the module for communicating with the Arduino, the data, busy, clock and reset pins [9]. The corresponding module is shown in figure 5. Fig.:5 SD Card Module
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 04 Issue: 12 | Dec-2017 www.irjet.net p-ISSN: 2395-0072 © 2017, IRJET | Impact Factor value: 6.171 | ISO 9001:2008 Certified Journal | Page 466 2.6 Voice files are made online by: âą www.ODDCAST.com âą MP3 TO WAV Converter 3. FUTURE SCOPE Robotics has several aspects: Mechanics, Motor Controls, Sensors & Actuators, Vision, Computing and Intelligence. There are numerous companies and various premier organization are working on these fields individually. But there are hardly few companies working on all of these domains, or on a robotic product as such. On the Vision and Computing part, there are quite a lot of companies working on embedded systems and image processing. They target automobile, consumer electronics and industrial automation sectors. Given that the global players, like Google, are investing in Robotics; increase in amateur robotic enthusiasts; Open source tools and platforms available for robotics [7], we can be assured of significant development in this field in another 5-10 years. This would need a little push from academia (in including relevant courses) and government (to support set up new industries). And this will also lead to the growth of individual skill as well as help our nation to compete in this competitive world in respect to the nationâs security and research. REFERENCES [1] Nikolaos Mavridis, âA review of verbal and non verbal humanârobot interactive communicationâ ELSEVIER journal of robotics and autonomous system. Volume63, Part 1, January 2015, Pages 22-35. [2] Brenna D. Argall, Sonia Chernova, Manuela Veloso,Brett Browning, âA survey of robot learning from demonstrationâ ELSEVIER journal of robotics and autonomous system. 31 May 2009 [3] Ivan Anatolievich Vasiliev,âControllingtheMotionofthe Mobile Robotâ, Indian journal of scienceandtechnology, Volume 9, Issue 42, November 2016, DOI: 10.17485/ijst/2016/v9i42/104237 [4] K. Chittal, K. Annapurani, âIntelligent Mobile Robots, Indian journal of science and technologyâ, Volume 9, Issue 39, October 2016 DOI: 10.17485/ijst/2016/v9i39/102063 [5] Nishchala Thakur , Vikas Wasson, âObstacle Detection from Still Imagesâ, Indian journal of science and technology, DOI: 10.17485/ijst/2016/v9i31/93481 [6] M. Chandrasekaran, A. Lakshmi Srinivas, Bharat Nallan Chakravarthy, âWireless Controlled SurveillanceMobile Robot through a Customized Web-User Interfaceâ, Indian journal of science and technology, DOI: 10.17485/ijst/2016/v9i33/98565 [7] Sajal Sharma, Ankit Muley, Rajesh Singh, Anita Gehlot, âUAV for Surveillance and Environmental Monitoringâ, Indian journal of science and technology, DOI: 10.17485/ijst/2016/v9i43/104396 [8] Kataru Venkata Kavya, K. S. Suresh, A. Umamakeswari, âA Telepresence Mobile Robot Controlling and Real Time Detection using Internet of Thingsâ, Indianjournal of science and technology, DOI: 10.17485/ijst/2016/v9i48/108008 [9] G. Govinda Rajulu, Vijayakumar Maragal Venkatamuni, P. Manimegalai, âDevelopment of Artificial Intelligent Skills and Techniques in Agricultural Roboticsâ, Indian journal of science and technology, DOI: 10.17485/ijst/2016/v9i45/101990 [10] M. Lokeshbabu, T. S. Balaji, B. Kamalesh, P. Pramod, âGlobally Control Robot for Surveillanceâ,Indianjournal of science and technology, DOI: 10.17485/ijst/2016/v9i47/108442 [11] T. Hori, C. Hori, Y. Minami, and A. Nakamura, âEfficient WFST-based one-pass decoding with on-the-fly hypothesis rescoring in extremely large vocabulary continuous speech recognition,â Audio, Speech, and Language Processing, IEEE Transactions on, vol. 15, no. 4, pp. 1352â1365, 2007.
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