Control the Robot via Both Voice & Moblie Application in Departmental Information Robot

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 13 | 02 | Page :
By

Abhishek Mani Tripathi,

Pawan Kumar Saini,

  1. Student, Department of Electronics and Communication Engineering, Bansal Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India
  2. Assistant Professor, Department of Electronics and Communication Engineering, Bansal Institute of Engineering and Technology, Lucknow, Uttar Pradesh, India

Abstract

The concept and development of an autonomous, interactive humanoid robot created to deliver college information via voice and mobile application control are presented in this work. To facilitate easy user interaction with the robot, the suggested system combines intelligent control, wireless connection, and speech recognition. The robot is equipped with a 10-inch monitor that provides instructors and students with information about college departments, facilities, and services. Oral responses from a speaker enhance communication. The system efficiently delivers information while requiring less human labour. Precise speech commands can be used to operate the planned Voice Controlled Humanoid Robot (VCHR). Commands recorded by an Android smartphone’s microphone are processed via the Google Voice API. Through a Bluetooth wireless connection, the identified speech is translated into text, mapped to pre-established control variables, and sent to the microcontroller. The microcontroller deciphers the commands it receives and carries out the necessary tasks, such as moving the robot and delivering information. The robot and its surroundings may be remotely monitored thanks to the Android application’s inbuilt camera, which also offers live video streaming. Ultrasonic sensors are used to identify impediments in front of the robot for safe navigation. When an obstacle is detected, an alarm beep is produced. The efficiency of the suggested system in robot movement, voice interaction, speech and emotion recognition, obstacle detection, and sensor-data processing is demonstrated by experimental evaluation.

Keywords: Humanoid Robot; Voice-Controlled Robotics; Speech Recognition; Wireless Communication; Human–Robot Interaction

How to cite this article: Abhishek Mani Tripathi, Pawan Kumar Saini. Control the Robot via Both Voice & Moblie Application in Departmental Information Robot. Recent Trends in Electronics Communication Systems. 2026; 13(02):-.
How to cite this URL: Abhishek Mani Tripathi, Pawan Kumar Saini. Control the Robot via Both Voice & Moblie Application in Departmental Information Robot. Recent Trends in Electronics Communication Systems. 2026; 13(02):-. Available from: https://journals.stmjournals.com/rtecs/article=2026/view=256361

References

  1. Naeem B, Yousuf N. An AI based voice controlled humanoid robot.
  2. Naeem B, Kareem W, Naeem N, Naeem R. Voice controlled humanoid robot. International Journal of Intelligent Robotics and Applications. 2024 Mar;8(1):61-75.
  3. Rashid H, Ahmed IU, Osman SB, Newaz Q, Rasheduzzaman M, Reza ST. Design and implementation of a voice controlled robot with human interaction ability. InProceedings of the International Conference on Computer, Communication, Chemical, Materials and Electronic Engineering, Rajshahi, Bangladesh 2017 Jan (pp. 26-27).
  4. Teeda V, Sujatha K, Mutukuru R. Robot voice a voice controlled robot using arduino. arXiv preprint arXiv:2402.03803. 2024 Feb 6.
  5. Sai UB, Sivanagamani K, Satish B, Rao MR. Voice controlled Humanoid Robot with artificial vision. In2017 International Conference on Trends in Electronics and Informatics (ICEI) 2017 May 11 (pp. 505-508). IEEE.
  6. Varma A. Robot control through voice recognition using LabVIEW. International Journal of Advance Research, Ideas and Innovations in Technology. 2020 Jan 1.
  7. Badr AA, Abdul-Hassan AK. A review on voice-based interface for human-robot interaction. Iraqi Journal for Electrical and Electronic Engineering. 2020 Nov 12;16(2):91- 102.
  8. Fong T, Nourbakhsh I, Dautenhahn K. A survey of socially interactive robots. Robotics and autonomous systems. 2003 Mar 31;42(3-4):143-66.
  9. Bonarini A. Communication in human-robot interaction. Current Robotics Reports. 2020 Dec;1(4):279-85.
  10. Berg J, Lu S. Review of interfaces for industrial human-robot interaction. Current Robotics Reports. 2020 Jun;1(2):27-34.
  11. Onyeulo EB, Gandhi V. What makes a social robot good at interacting with humans?. Information. 2020 Jan 13;11(1):43.
  12. Laban G. What makes a robot social? A review of social robots from science fiction to a home or hospital near you. Current Robotics Reports. 2021 Jan 1.
  13. Mahdi H, Akgun SA, Saleh S, Dautenhahn K. A survey on the design and evolution of social robots—Past, present and future. Robotics and Autonomous Systems. 2022 Oct 1;156:104193.
  14. Addlesee A, Papaioannou I. Building for speech: designing the next-generation of social robots for audio interaction. Frontiers in Robotics and AI. 2025 Jan 3;11:1356477.

Ahead of Print Subscription Review Article
Volume 13
02
Received 14/09/2026
Accepted 16/09/2026
Published 18/09/2026
Publication Time 4 Days


Login

My IP

PlumX Metrics

Support