Vidya K. Nandikolla
California State University, Northridge, Boise State University
Papers
9
Total Citations
102
H-Index
4
About
Vidya K. Nandikolla is a pioneering researcher in assistive robotics, human-machine interfaces, and brain-computer interface (BCI) technologies, with a body of work dedicated to improving mobility and independence for individuals with physical disabilities. Her most influential contribution, "Human-Machine Interface for a Smart Wheelchair" (2019, 55 citations), established her as a leading voice in intelligent wheelchair design, integrating advanced sensor technology, computer clusters, and LabVIEW-based processing to push the boundaries of smart mobility systems. Building on this foundation, her 2018 work on autonomous robotic wheelchairs (20 citations) further advanced the field by combining hardware, software, and autonomous vehicle principles for medical mobility applications. Nandikolla has also made significant strides in BCI-driven robotics, developing systems that translate brainwave signals into real-world robotic commands — from robotic arm manipulators to omnidirectional robots and mobile assistive platforms using SLAM-based navigation. Her research consistently bridges neuroscience, robotics, and engineering, demonstrating both technical depth and a profound commitment to human-centered design. With a growing citation record and contributions spanning teleoperation, machine learning, and mechatronics education, Nandikolla's work represents a compelling intersection of innovation and social impact in assistive technology.
Research Focus
Key Achievements
Top Papers
- 1Human-Machine Interface for a Smart Wheelchair55 citations · 2019
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- 5Real-world industry collaboration within a mechatronics class4 citations · 2008
- 6Brain-Computer Interface Application in Robotic Gripper Control3 citations · 2018
- 7Machine Learning Using Brain Computer Interface System2 citations · 2020
- 8Design of Omnidirectional Robot Using Hybrid Brain Computer Interface2 citations · 2020
- 9Navigation and Path Planning of an Autonomous Mobile Robot2 citations · 2021