Siddharth Patel

University of Pennsylvania, Nanyang Technological University

Papers

Total Citations

165

H-Index

About

Siddharth Patel is a pioneering researcher in assistive robotics and intelligent control systems, with a career spanning two decades of impactful work. His early contributions focused on human-robot interaction for assistive devices, most notably the development of a smart wheelchair that could be commanded through vision-based interfaces—a project that has garnered 69 citations and laid foundational work for accessible mobility solutions. He also advanced sensor-based navigation for nonholonomic vehicles, creating algorithms that enable wheelchairs to autonomously navigate doorways using camera and laser range finder data (39 citations). In recent years, Patel has shifted toward aerial robotics, introducing hybrid artificial neural network approaches for controlling aerial robots (31 citations) and developing learning-based fast nonlinear model predictive control for custom-made 3D printed ground and aerial robots (26 citations). His work bridges classical control theory with modern machine learning, producing practical, real-world applications in assistive technology and autonomous systems. Patel’s research has directly influenced the design of safer, more intuitive robotic aids for individuals with mobility impairments, while his recent innovations in 3D printed robotics demonstrate a commitment to accessible, customizable hardware. With a career that spans foundational assistive robotics to cutting-edge intelligent control, Patel remains a key figure in making robots more responsive and useful in everyday environments.