Ayush Sharma

Delhi Technological University, Indian Institute of Technology Hyderabad

Papers

Total Citations

H-Index

About

Ayush Sharma’s research lies at the intersection of affordable robotics, embedded systems, and autonomous navigation. His most impactful work, “Design and Development of a Low-Cost CNC Alternative SCARA Robotic Arm” (2020, 18 citations), tackles the critical barrier of cost in precision manufacturing. By engineering a SCARA arm as a viable, budget-friendly alternative to expensive CNC machines, Sharma directly addresses the needs of small to mid-range manufacturers, democratizing access to high-efficiency automation. This contribution highlights his commitment to practical, scalable engineering solutions. In parallel, Sharma explores intelligent sensing with his FPGA-based surveillance system (2018), which employs a split-processing approach on a ZYNQ FPGA to enhance video processing efficiency for mobile robots. His most recent work, “Hierarchical Unsupervised Topological SLAM” (2023), pushes the frontier of autonomous navigation by introducing a novel framework for unsupervised topological clustering. This method improves loop detection and closure in SLAM, enabling robots to better understand and map their environments. With a growing citation footprint, Sharma’s portfolio demonstrates a clear trajectory from cost-effective hardware design to sophisticated, algorithm-driven autonomy, marking him as a promising innovator in accessible robotics and intelligent systems.