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Neuro-fuzzy techniques to optimize an FPGA embedded controller for robot navigation

  • Published:2014-08 Issue: Volume:21 Page:95-106
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Baturone Iluminada,Gersnoviez Andrés,Barriga Ángel

Publisher

Elsevier BV

Subject

Software

Reference38 articles.

1. Fuzzy Logic with Engineering Applications;Ross,2010

2. Development and fuzzy control of a pipe inspection robot;Huang;IEEE Trans. Ind. Electron.,2010

3. Behavior-based neuro-fuzzy controller for mobile robot navigation;Rusu;IEEE Trans. Instrum. Meas.,2003

4. A neuro-fuzzy approach to obstacle avoidance for a nonholonomic mobile robot;Wang,2003

5. Electronic hardware for fuzzy computation;Basterretxea,2010

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1. Advancements and Challenges in Mobile Robot Navigation: A Comprehensive Review of Algorithms and Potential for Self-Learning Approaches;Journal of Intelligent & Robotic Systems;2024-08-17

2. Hybrid approach to implement multi‐robotic navigation system using neural network, fuzzy logic, and bio‐inspired optimization methodologies;Computational Intelligence;2022-09-06

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5. Route outlining of humanoid robot on flat surface using MFO aided artificial potential field approach;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2021-08-27
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