C.R. Parten

University of Tennessee at Chattanooga

Papers

1

Total Citations

3

H-Index

1

About

C.R. Parten’s research centers on the intersection of adaptive control systems and underwater robotics, with a particular focus on enhancing telerobotic performance through intelligent architectures. Their most notable contribution, detailed in the 2002 paper “Underwater robotic operations using a decentralized adaptive neurocontroller,” introduced a pioneering three-tier distributed control framework that leverages neural networks to manage robotic arms with varying dynamics. This work demonstrated how decentralized neurocontrollers could adapt in real-time to complex underwater environments, improving coordination and precision during remote operations. Although the paper has garnered 3 citations, its conceptual foundation has informed subsequent studies in adaptive robotics and neural control. Parten’s approach—testing the neurocontroller on simulated two-joint robot arms with distinct dynamic properties—showcased a rigorous methodology that bridges theoretical control design with practical application. For students and researchers exploring adaptive systems or marine robotics, Parten’s work offers an early, insightful example of how decentralized intelligence can overcome the challenges of remote manipulation in unpredictable settings.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Underwater robotic operations using a decentralized adaptive neurocontroller
3 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Tennessee at Chattanooga

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago