Akash Dutt Dubey

Jaipuria Institute of Management, Fiji National University, Indian Institute of Technology BHU

Papers

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About

Akash Dutt Dubey is a researcher at the forefront of cognitive robotics and human-robot interaction, with a focus on imbuing machines with decision-making capabilities inspired by human cognition. His work centers on developing intelligent control systems that allow robots to perceive, reason, and act autonomously in dynamic environments. Dubey’s most influential contribution is the integration of Q-learning with the Situation-Operator Model, a novel framework that enables a robotic manipulator to cognitively assess its initial state and apply a sequence of operators to reach a goal—a foundational approach for adaptive robotic behavior. He has also made significant strides in the critical challenge of trust in robotics, proposing cognitive methodologies to evaluate and enhance the reliability of human-robot teams, a key factor for safe collaboration. Further demonstrating his versatility, Dubey has applied evolutionary computation, combining Artificial Neural Networks with Genetic Algorithms, to optimize task time for robot manipulators under kinodynamic constraints. With his most-cited works accumulating over a dozen citations, Dubey’s research provides a solid foundation for students and engineers exploring autonomous navigation, machine learning for robotics, and the psychological dimensions of human-robot integration.