Aditya Manglik

Birla Institute of Technology and Science, Pilani

Papers

Total Citations

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About

Aditya Manglik is a robotics researcher whose work bridges bio-inspired design and evolutionary computation, with a focus on creating resilient, adaptive locomotion systems. His most-cited paper, “Adaptive gait generation for hexapod robot using Genetic Algorithm” (2016, 17 citations), addresses a fundamental challenge in robotics: enabling machines to recover from structural damage, much like animals do. Manglik demonstrates that by integrating Genetic Algorithms, a hexapod robot can autonomously generate new, stable gaits after leg injuries, eliminating the need for pre-programmed responses. This contribution is significant for field robotics, where repairs are often impossible. Beyond this work, Manglik’s research explores how nature’s robust locomotion designs can be translated into practical algorithms, making robots more resilient in unstructured environments. His findings have implications for search-and-rescue, planetary exploration, and assistive technologies. While early in his career, Manglik’s focus on adaptive, fault-tolerant systems marks him as a promising voice in the intersection of evolutionary robotics and embodied intelligence, inspiring future work on machines that learn to walk again.