Layatitdev Das

National Institute of Technology Rourkela

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About

Layatitdev Das is a robotics researcher whose work centers on the computational intelligence-driven analysis of robotic manipulators, with a particular focus on kinematics modeling and control. His research addresses one of the most persistent challenges in robotics: solving the inverse kinematics problem for high-degree-of-freedom (DOF) redundant manipulators, where traditional analytical methods often prove computationally expensive or intractable. Das has made notable contributions through the application of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to predict inverse kinematics solutions, demonstrating that hybrid intelligent approaches can effectively determine joint angles and trajectories for complex robotic systems. His 2012 thesis proposed ANFIS-based forward and inverse kinematics analysis for both 5-DOF and 7-DOF redundant manipulators, while his subsequent 2015 study extended this methodology to the 5-DOF Pioneer robotic arm featuring a 6-DOF end-effector — a practically relevant platform widely used in research settings. Collectively accumulating citations within the robotics and computational intelligence communities, Das's work offers accessible, data-driven alternatives to conventional kinematics solvers, making it particularly valuable for researchers and engineers developing real-time robot control systems and trajectory planning algorithms.