Shailendra Aswale

Papers

Total Citations

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About

Shailendra Aswale is a researcher at the forefront of intelligent robotic systems, with a primary focus on autonomous navigation and applied machine learning. His work addresses critical challenges in both defense and environmental sustainability. Aswale’s major contribution includes a comprehensive survey on autonomous military service robots, which analyzes the complexities of deploying robots in unpredictable, high-stakes environments such as bomb disposal and rescue operations. This influential work has garnered 43 citations, underscoring its value to the field of defense robotics. More recently, Aswale has pioneered the integration of TinyML into waste management with his work on a robotic recyclables segregation system. This innovative approach aims to provide a cost-effective, automated solution for recycling plants, particularly in technologically underdeveloped nations struggling with waste processing. By combining low-power machine learning with robotics, Aswale is driving progress toward more efficient and accessible recycling technologies, demonstrating a clear commitment to applying cutting-edge research for real-world impact.