J.J. Feeley

Papers

1

Total Citations

6

H-Index

1

About

J.J. Feeley is a pioneering researcher in autonomous robotics and intelligent control systems, with a primary focus on developing robotic solutions for forestry and outdoor environments. Their most notable contribution is the creation of an autonomous forest robot guided by a hierarchical, fuzzy logic controller, as detailed in their 2005 paper "An Autonomous Forest Robot That Uses a Hierarchical, Fuzzy Logic Controller." This work introduced a novel control architecture that arbitrates recommendations from lower-level modules to enable a robot to navigate complex forest trails autonomously. The robot was designed to transport logs or trees from cutting sites to processing locations, addressing critical challenges in forestry automation. While the paper has garnered 6 citations, its impact lies in laying foundational groundwork for outdoor robotic navigation and fuzzy logic applications in unstructured environments. Feeley’s research bridges robotics and environmental engineering, offering practical solutions for sustainable forestry practices. Their work stands out for its innovative integration of hierarchical decision-making with fuzzy logic, inspiring further advancements in autonomous systems for natural terrains.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
AN AUTONOMOUS FOREST ROBOT THAT USES A HIERARCHICAL, FUZZY LOGIC CONTROLLER
6 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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