ExploroBot: A Versatile Robotic Explorer

Year : 2024 | Volume :11 | Issue : 02 | Page : –
By

Ashwini Garole,

Aditya Kale,

Abhinav Patil,

Siddhesh Tatkare,

Shravani Waghmare,

  1. Assistant Profesor Computer science and engineering (Artificial Intelligence and Machine Learning), Vishwaniket’s iMEET Khalapur Maharashtra India
  2. Student Computer science and engineering (Artificial Intelligence and Machine Learning), Vishwaniketan’s iMEET Khalapur Maharashtra India
  3. Student Computer science and engineering (Artificial Intelligence and Machine Learning), Vishwaniketan’s iMEET Khalapur Maharashtra India
  4. Student Computer science and engineering (Artificial Intelligence and Machine Learning), Vishwaniketan’s iMEET Khalapur Maharashtra India
  5. Student Computer science and engineering (Artificial Intelligence and Machine Learning), Vishwaniketan’s iMEET Khalapur Maharashtra India

Abstract

ExploroBot: A Versatile Robotic Explorer is a cutting-edge robotic platform designed for exploration and surveillance applications. Equipped with six battery-operated motors for mobility and an Arduino UNO microcontroller as its brain, the rover integrates ultrasonic sensors and two ESP32 Cam modules for obstacle avoidance and live footage streaming. With precise control mechanisms and advanced sensor technologies, ExploroBot: A Versatile Robotic Explorer offers a versatile solution for navigating complex environments while capturing real-time data for analysis and monitoring. Using 6 Battery Operated Motors for each BO Wheels, Arduino UNO as it’s Brain and Ultrasonic Sensor will provide it the Data around the Rover as the Ultrasonic Sensor is fitted on a Servo Motor for 180-degree movement and it will help the Microcontroller make decisions in order to Avoid the Collision with the Obstacles, The Rover is also, having Two ESP32 Cam Modules, One for Pan & Tilt Movement supported using more two Servo Motors and another ESP32 Cam Module for LIVE Footage of the Rover surrounding using web server on Our Mobile Phone or Laptop. The Ultrasonic Sensor does send and receive the signal rays in order to understand the obstacles distance from the rover and helping the rover take decisions and avoid obstacle. The One ESP32 Cam Modules used for Object Detection uses coco library for object detection and another for LIVE Streaming the footage around the rover when it is in action.

Keywords: Remote monitoring, Object detection, Advanced vision capabilities (AVC), Robotics. robotic platform, exploration, surveillance, Arduino UNO, ultrasonic sensor, ESP32 Cam modules, obstacle avoidance, live footage streaming.

[This article belongs to Journal of Advancements in Robotics(joarb)]

How to cite this article: Ashwini Garole, Aditya Kale, Abhinav Patil, Siddhesh Tatkare, Shravani Waghmare. ExploroBot: A Versatile Robotic Explorer. Journal of Advancements in Robotics. 2024; 11(02):-.
How to cite this URL: Ashwini Garole, Aditya Kale, Abhinav Patil, Siddhesh Tatkare, Shravani Waghmare. ExploroBot: A Versatile Robotic Explorer. Journal of Advancements in Robotics. 2024; 11(02):-. Available from: https://journals.stmjournals.com/joarb/article=2024/view=155905



References

[1] J. Bares; M. Hebert; T. Kanade; E. Krotkov; T. Mitchell; R. Simmons; W. Whittaker Ambler: an autonomous rover for planetary exploration, June 1989.

[2] Joy A. Crisp, Mark Adler, Jacob R. Matijevic, Steven W. Squyres, Raymond E. Arvidson, David M. Kass, Mars Exploration Rover mission, 24 October 2003.

[3] Peiyuan Jiang, Daji Ergu, Fangyao Liu,Ying Cai, Bo Ma A Review of Yolo Algorithm Developments, 3 February 2022.

[4] Wei Fang; Lin Wang; Peiming Ren, Tinier-YOLO: A Real-Time Object Detection Method for Constrained Environments, 24 December 2019.

[5] Tausif Diwan, G. Anirudh & Jitendra V. Tembhurne, Object detection using YOLO: Challenges, architectural successors, datasets and applications,8 August 2022.

[6] R.VAIRAVAN , S.AJITH KUMAR, L.SHABIN ASHIFF, C.GODWIN JOSE ,Obstacle avoidance robotic vehicle using ultrasonic sensor, Arduino controller, Feb-2018.

[7] Sachintha Balasooriya; Yoshihiro Sato; Takeshi Oishi, Autonomous Robotic Platform for Proximal Data Collection Amongst Foliage Utilizing an Anisotropically Flexible Manipulator, 08-11 January 2024.

[8] Ketan Shende, Ajay Sharda, Pascal Hitzler, Hardware Design & Preliminary Evaluation of Wireless Data Communication for Autonomous Farming Applications, 1 Mar 2024.

[9] Kai Nierula1, Dmitriy Shutin1, Ban-Sok Shin1, Heiner Igel2, Sabrina Keil2, Felix Bernauer2, Philipp Reiss3, Rok Sesko3, and Fabian Lindner, Probabilistic Approach toward Seismic Exploration with Autonomous Robotic Swarms, Monday, 15 Apr 2024.

[10] Irfan Sljivo, Ivan Perez, Anastasia Mavridou, Johann Schumann, Pavlo G. Vlastos and Corey Carter, Dynamic Assurance of Autonomous Systems through Ground Control Software, 4 Jan 2024.

[11] Steinbauer-Wagner, G., Jusner, S., Eder, M., Moser, S., Halatschek, R., Didari, H., Schaffler-Glößl, S., and Lebschy, A.: Semi-Autonomous Robot Support for A Mars Analog Exploration Cascade, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-269, https://doi.org/10.5194/egusphere-egu24-269, 2024.

[12] sohini gupta, adeel khalid, autonomous lunar investigation and communications explorer (a.l.i.c.e.): conceptual design of lunar rover with autonomous capabilities.

[13] S. Chikoti et al., “Towards Autonomous Shooting Rover via Situation Aware Visual-Perception and Dynamic Action Execution,” 2024 IEEE/SICE International Symposium on System Integration (SII), Ha Long, Vietnam, 2024, pp. 1113-1118, doi: 10.1109/SII58957.2024.10417488.

[14] Theodosios Katis; Theodore Kaskalis, Autonomous robotic platform for comprehensive environmental monitoring and mapping: Design, implementation, and integration, 21 February 2024.

[15] C. Ma, Y. Li, J. Lv, Z. Xiao, W. Zhang and L. Mo, “Automated Rock Detection from Mars Rover Image Via Y-Shape Dual-Task Network with Depth-Aware Spatial Attention Mechanism,” in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2024.3371684.

[16] Nathaniel Benz, Irfan Sljivo, Pavlo G. Vlastos, Aaron Woodard, Corey Carter and Mohammad Hejase, The Troupe System: An autonomous multi-agent rover swarm, 4 Jan 2024.

[17] Xuefen Zhang, Haibin Shang, Zichen Zhao, Bingwei Wei, Chaoyong Li, Trajectory Planning for Hopping Rover on Small Bodies Under Pre-Collision Attitude Adjustment Modulation, February 2024.


Regular Issue Subscription Review Article
Volume 11
Issue 02
Received May 3, 2024
Accepted May 29, 2024
Published July 10, 2024