Neha Thotappala Jayaprakash

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About

Neha Thotappala Jayaprakash is a researcher focused on assistive robotics and autonomous navigation, with a particular emphasis on improving mobility for individuals with disabilities. Her work centers on developing autonomous wheelchair systems capable of navigating unmapped indoor environments—a challenging problem that requires robust obstacle detection and real-time path planning without relying on pre-existing maps. Her most-cited paper, "Autonomous wheelchair navigation in unmapped indoor environments" (2018), has garnered 20 citations and addresses key challenges in assistive technology by leveraging recent advances in robot automation and computer vision. In a related study, "PCL-Based Autonomous Wheelchair Navigation in Unmapped Indoor Environments" (2018), she further explores the use of point cloud library (PCL) techniques to enhance obstacle detection and navigation reliability. Jayaprakash’s contributions sit at the intersection of robotics, computer vision, and human-centered design, aiming to create practical, cost-effective solutions that can operate in dynamic, real-world settings. Her work is particularly relevant for researchers in assistive robotics and autonomous systems, offering a foundation for developing smarter, safer mobility aids for individuals with physical limitations.