K. Anantha

Papers

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About

K. Anantha is a researcher in robotics and parallel computing, whose work focuses on the efficient real-time control and simulation of robotic systems. His key research areas include robot dynamics, parallel algorithms, and multiprocessor architectures for real-time applications. Anantha’s most notable contribution is the development of a decoupled parallel recursive Newton-Euler algorithm for inverse dynamics, which partitions computations across separate processors to significantly speed up robot control. This work, published in 2002, remains his most cited paper with 9 citations, demonstrating its foundational role in parallel robotics. He also built a pioneering multiprocessor testbed in 1990 to explore parallel algorithms for robot dynamics, and later developed an eight-CPU multiprocessor system for real-time applications such as robot control, digital signal processing, and neural network simulation. This system, which integrates a fast file system and a Unix processor, highlights Anantha’s hands-on engineering approach to bridging theory and practice. His contributions are valuable for students and researchers interested in high-performance computing for robotics and embedded systems.