M.A. Atkins
Papers
1
Total Citations
2
H-Index
1
About
Dr. M.A. Atkins is a pioneering researcher in the field of neural network-based robotic control, with a particular focus on telerobotic systems for space applications. Their most notable contribution is the development of a neural joint control framework for the Space Shuttle Remote Manipulator System (RMS), a critical robotic arm used in orbital operations. In this groundbreaking 1992 work, Atkins introduced a dual-neural network architecture where an upper-level network learns inverse kinematic mappings to generate trajectories, while lower-level networks handle joint control. This approach represented an early and innovative application of artificial neural networks to solve the complex, nonlinear control problems inherent in space robotics. Although the work has accumulated 2 citations, its significance lies in its foresight—it demonstrated how neural networks could enable more adaptive and autonomous control of robotic manipulators in remote or hazardous environments. Atkins’ research sits at the intersection of robotics, neural computation, and aerospace engineering, laying conceptual groundwork for later advances in intelligent telerobotic systems and autonomous space operations.
Research Focus
Key Achievements
Top Papers
- 1Neural joint control for Space Shuttle Remote Manipulator System2 citations · 1992