Taskia Nadriba Mimma

Khulna University of Engineering and Technology

Papers

Total Citations

H-Index

About

Taskia Nadriba Mimma is a researcher in robotics and artificial intelligence, with a primary focus on autonomous navigation systems. Her most cited work, "An autonomous robot: Using ANN to navigate in a static path" (2017, 6 citations), introduces an intelligent control framework that enables a robot to follow a predetermined path while autonomously detecting and avoiding obstacles without human intervention. By training the robot with an Artificial Neural Network (ANN), Mimma demonstrates how machine learning can enhance real-time decision-making in static environments, laying groundwork for more adaptive robotic systems. Though early in her career, this contribution highlights her commitment to bridging neural network theory with practical robotics applications. Her work is particularly relevant for students and researchers exploring sensor-based navigation, embedded intelligence, and the integration of ANN in autonomous agents. Mimma’s research offers a foundational step toward creating robots capable of safe, unsupervised operation in constrained spaces—a critical capability for industrial automation, assistive robotics, and autonomous vehicles.