Kumar Yelamarthi
Papers
11
Total Citations
261
H-Index
8
About
Dr. Kumar Yelamarthi is a leading researcher in assistive robotics, sensor fusion, and intelligent navigation systems. His pioneering work focuses on developing autonomous systems that enhance mobility and independence for visually impaired individuals. His most influential contribution is the RFID and GPS integrated navigation system for the visually impaired, which has garnered 110 citations and introduced the Smart-Robot (SR) platform for seamless indoor-outdoor localization. Dr. Yelamarthi further advanced indoor navigation with the CATE (Central's Automated Tour Experience) tour guide robot, an RFID and sonar-guided system cited 29 times. His research portfolio also includes innovative sensor fusion methodologies for obstacle avoidance, Kalman filter-based mobile robot navigation, and IoT-enabled portable tour guide systems. Notable achievements include the design of a four-pendulum omnidirectional spherical robot and a portable depth sensor-based assistive system for the blind. With over 250 total citations across his top works, Dr. Yelamarthi's contributions have significantly impacted assistive technology and mobile robotics, demonstrating a sustained commitment to creating practical, real-world solutions that improve quality of life through engineering innovation.
Research Focus
Key Achievements
Top Papers
- 1RFID and GPS integrated navigation system for the visually impaired110 citations · 2010
- 2Design and Analysis of a Four-Pendulum Omnidirectional Spherical Robot37 citations · 2016
- 3An RFID based autonomous indoor tour guide robot29 citations · 2012
- 4RFID positioning robot: An indoor navigation system27 citations · 2013
- 5A sensor fusion methodology for obstacle avoidance robot13 citations · 2016
- 6Kalman filter based indoor mobile robot navigation13 citations · 2016
- 7
- 8CATE: An Indoor Tour Guide Robot8 citations · 2012
- 9Navigation assistive system for the blind using a portable depth sensor6 citations · 2015
- 10