Cora Deri Amanda
Papers
1
Total Citations
8
H-Index
1
About
Cora Deri Amanda is a researcher in robotics and embedded systems, with a focus on autonomous navigation and intelligent control. Her most-cited work, "Implementation of RAM Based Neural Networks on Maze Mapping Algorithms for Wall Follower Robot" (2019, 8 citations), introduces a novel integration of RAM-based neural networks with maze mapping techniques to enhance the navigation safety of wall-following robots. By combining the left-hand rule algorithm with neural learning, Amanda’s approach enables robots to recognize their environment and avoid wall collisions without requiring complex sensors. This contribution addresses a fundamental challenge in mobile robotics: achieving reliable, low-cost autonomous navigation in constrained spaces. Her work is particularly relevant to the development of educational robotics platforms and simple industrial automation systems. Amanda’s research demonstrates how lightweight neural architectures can be effectively applied to real-time control problems, offering a practical bridge between theoretical machine learning and embedded hardware implementation. Her findings continue to inform studies on intelligent path planning and sensorless navigation in robotics.
Research Focus
Key Achievements
Top Papers
- 1