Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Design and Implementation of FPGA Based Energy-Efficient Artificial Intelligence Processor for Autonomous Mobile Robot

Authors
Rama Rao Chekuri1, *, D. Hari Krishna1, Chiluka Likhitha1, Kandala Bhavani1, Kanu kuntla1, Anjana1, M. C. Chinnaiah1, Gurjewar Akash Yadav1
1Department of Electronics and Communication Engineering, B V Raju Institute of Technology, Narsapur, Hyderabad, India
*Corresponding author. Email: ramarao.ch@bvrit.ac.in
Corresponding Author
Rama Rao Chekuri
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_191How to use a DOI?
Keywords
FPGA-Based AI Processor; Robot Navigation and control; A* and Dijkstra’s Algorithm; Neural Network Acceleration; Autonomous mobile Robot; low power AI Processing
Abstract

Autonomous mobile robots (AMRs) require efficient real-time processing capabilities to navigate dynamic environments. Traditional processors often face challenges in meeting the power and performance demands of AI-based decision-making. This paper presents the design and implementation of an FPGA-based energy-efficient artificial intelligence (AI) processor tailored for AMRs. The proposed architecture leverages FPGA parallelism and custom AI acceleration to optimize computational efficiency while minimizing power consumption. A hardware-software co-design approach is employed to enhance performance in tasks such as object recognition, path planning, and sensor fusion. Experimental results demonstrate significant improvements in energy efficiency and processing speed compared to conventional embedded AI solutions. This work provides a scalable and low-power AI processing framework suitable for next-generation autonomous mobile robots.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_191How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rama Rao Chekuri
AU  - D. Hari Krishna
AU  - Chiluka Likhitha
AU  - Kandala Bhavani
AU  - Kanu kuntla
AU  - Anjana
AU  - M. C. Chinnaiah
AU  - Gurjewar Akash Yadav
PY  - 2025
DA  - 2025/11/04
TI  - Design and Implementation of FPGA Based Energy-Efficient Artificial Intelligence Processor for Autonomous Mobile Robot
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2295
EP  - 2306
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_191
DO  - 10.2991/978-94-6463-858-5_191
ID  - Chekuri2025
ER  -