Woxbots: A Low‐Cost Swarm Robotics Platform for Real‐Time Pattern Formation and Path Planning.
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| Title: | Woxbots: A Low‐Cost Swarm Robotics Platform for Real‐Time Pattern Formation and Path Planning. |
|---|---|
| Authors: | Ganduri, Krishna Vamshi1 (AUTHOR) kvganduri@gmail.com, Pathri, Bhargav Prajwal1 (AUTHOR) bhargavpathri@gmail.com, Pammi, S. V. N.2 (AUTHOR), Swami Sairam, P.3 (AUTHOR) |
| Source: | Journal of Field Robotics. Mar2026, Vol. 43 Issue 2, p949-968. 20p. |
| Subjects: | Pattern formation (Physical sciences), Robotic path planning, Raspberry Pi, PID controllers, Aggregation (Robotics), Obstacle avoidance (Robotics), Multiagent systems |
| Abstract: | Swarm robots provide significant promise for autonomous exploration, disaster response, environmental monitoring, and military operations. Nevertheless, most existing platforms are limited to simulations or lack the full‐stack integration necessary for practical deployment. Although our prior simulation‐based research validated the theoretical viability of decentralized swarm behaviour, its actual execution continues to pose challenges. To bridge the gap, in the current research work, Woxbots, an economical and scalable swarm robotics platform designed for the experimental validation of pattern formation and collision‐aware route planning using velocity obstacle techniques, has been introduced. The current system was equipped with strong multiagent communication, real‐time obstacle avoidance, and velocity‐dependent trajectory regulation. The modular design, constructed using Raspberry Pi and ESP32 microcontrollers, guarantees dependable odometry, easy interface, and adaptable robot coordination. A PID controller improves dynamic responsiveness and trajectory accuracy. Extensive experimental trials with various autonomous agents confirm the platform's reliability, flexibility, and real‐time efficacy in dynamic, limited settings. Woxbots provide a cost‐effective and practical solution, facilitating the development of scalable swarm robotic systems for academic research, industrial automation, and mission‐critical operations. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Field Robotics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191376507 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Woxbots: A Low‐Cost Swarm Robotics Platform for Real‐Time Pattern Formation and Path Planning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ganduri%2C+Krishna+Vamshi%22">Ganduri, Krishna Vamshi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kvganduri@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pathri%2C+Bhargav+Prajwal%22">Pathri, Bhargav Prajwal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bhargavpathri@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pammi%2C+S%2E+V%2E+N%2E%22">Pammi, S. V. N.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Swami+Sairam%2C+P%2E%22">Swami Sairam, P.</searchLink><relatesTo>3</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Field+Robotics%22">Journal of Field Robotics</searchLink>. Mar2026, Vol. 43 Issue 2, p949-968. 20p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Pattern+formation+%28Physical+sciences%29%22">Pattern formation (Physical sciences)</searchLink><br /><searchLink fieldCode="DE" term="%22Robotic+path+planning%22">Robotic path planning</searchLink><br /><searchLink fieldCode="DE" term="%22Raspberry+Pi%22">Raspberry Pi</searchLink><br /><searchLink fieldCode="DE" term="%22PID+controllers%22">PID controllers</searchLink><br /><searchLink fieldCode="DE" term="%22Aggregation+%28Robotics%29%22">Aggregation (Robotics)</searchLink><br /><searchLink fieldCode="DE" term="%22Obstacle+avoidance+%28Robotics%29%22">Obstacle avoidance (Robotics)</searchLink><br /><searchLink fieldCode="DE" term="%22Multiagent+systems%22">Multiagent systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Swarm robots provide significant promise for autonomous exploration, disaster response, environmental monitoring, and military operations. Nevertheless, most existing platforms are limited to simulations or lack the full‐stack integration necessary for practical deployment. Although our prior simulation‐based research validated the theoretical viability of decentralized swarm behaviour, its actual execution continues to pose challenges. To bridge the gap, in the current research work, Woxbots, an economical and scalable swarm robotics platform designed for the experimental validation of pattern formation and collision‐aware route planning using velocity obstacle techniques, has been introduced. The current system was equipped with strong multiagent communication, real‐time obstacle avoidance, and velocity‐dependent trajectory regulation. The modular design, constructed using Raspberry Pi and ESP32 microcontrollers, guarantees dependable odometry, easy interface, and adaptable robot coordination. A PID controller improves dynamic responsiveness and trajectory accuracy. Extensive experimental trials with various autonomous agents confirm the platform's reliability, flexibility, and real‐time efficacy in dynamic, limited settings. Woxbots provide a cost‐effective and practical solution, facilitating the development of scalable swarm robotic systems for academic research, industrial automation, and mission‐critical operations. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Field Robotics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/rob.70078 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 20 StartPage: 949 Subjects: – SubjectFull: Pattern formation (Physical sciences) Type: general – SubjectFull: Robotic path planning Type: general – SubjectFull: Raspberry Pi Type: general – SubjectFull: PID controllers Type: general – SubjectFull: Aggregation (Robotics) Type: general – SubjectFull: Obstacle avoidance (Robotics) Type: general – SubjectFull: Multiagent systems Type: general Titles: – TitleFull: Woxbots: A Low‐Cost Swarm Robotics Platform for Real‐Time Pattern Formation and Path Planning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ganduri, Krishna Vamshi – PersonEntity: Name: NameFull: Pathri, Bhargav Prajwal – PersonEntity: Name: NameFull: Pammi, S. V. N. – PersonEntity: Name: NameFull: Swami Sairam, P. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15564959 Numbering: – Type: volume Value: 43 – Type: issue Value: 2 Titles: – TitleFull: Journal of Field Robotics Type: main |
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