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About

Sugato Hajra is an emerging researcher at the forefront of energy harvesting, smart materials, and autonomous robotics, with a particular focus on triboelectric nanogenerators (TENGs) and their transformative applications. His most cited work, "Revolutionizing self-powered robotic systems with triboelectric nanogenerators" (2023, 106 citations), established him as a leading voice in harnessing mechanical energy conversion to power robotic systems without external sources — a breakthrough with profound implications for sustainable engineering. Hajra has also pioneered the integration of metal-organic frameworks, notably ZIF-67, into TENG design, enabling advances in self-powered object recognition and dual-mode sensing (80 and 60 citations, respectively). His 2022 contribution merging artificial intelligence with energy harvesting systems (99 citations) reflects his interdisciplinary vision, bridging machine learning with nanoenergy technologies. Beyond energy harvesting, Hajra explores stimuli-responsive soft robotics, investigating bioinspired systems that mimic biological adaptability in challenging environments. With a growing citation record exceeding 370 citations across his key publications and sustained output through 2025, his research is steadily shaping the future of autonomous, self-powered, and environmentally sustainable robotic systems.