Kevis Maninis
Papers
1
Total Citations
4
H-Index
1
About
Kevis Maninis is a researcher whose work bridges computer vision, robotics, and assistive technology, with a focus on developing intelligent systems that enhance human mobility and independence. His most-cited paper, "Towards an Intelligent Robotic Walker for Assisted Living using Multimodal Sensorial Data" (2014, 4 citations), exemplifies his commitment to creating practical, human-centered AI solutions. In this work, Maninis proposed a robotic platform that integrates audiovisual sensors and laser range scanners to provide cognitive assistance and natural support for elderly individuals and those with mild walking impairments in indoor environments. By processing multimodal sensory data, his system enables real-time navigation and user interaction, laying groundwork for safer, more responsive assistive devices. While his citation count reflects the specialized, emerging nature of this field, Maninis’s contributions are notable for their interdisciplinary approach—combining deep learning, sensor fusion, and human-robot interaction. His research not only advances technical capabilities in autonomous systems but also addresses critical societal challenges in aging and accessibility, marking him as a thoughtful innovator at the intersection of AI and healthcare.
Research Focus
Key Achievements
Top Papers
- 1