Published on by Innovation Technologist

Innovative Research Award

Vidya Nandikolla
California State University, United States

Vidya Nandikolla
Affiliation California State University
Country United States
Scopus ID 8339231200
Documents 25
Citations 136
h-index 5
Subject Area Engineering
Event Global Innovation Technologist Awards
ORCID 0000-0002-4151-4783

Vidya Nandikolla is an engineering researcher whose published work addresses robotics, simultaneous localization and mapping (SLAM), brain-computer interfaces (BCI), machine learning, and intelligent robotic control. The research portfolio demonstrates an interdisciplinary connection between computational methods, sensing, human–robot interaction, and autonomous systems. [1]

Abstract

The Innovative Research Award profile recognizes Vidya Nandikolla’s contributions to engineering research involving autonomous robotics, SLAM, robotic teleoperation, and BCI-enabled assistive systems. Her publications examine navigation, obstacle avoidance, brain-signal processing, machine learning, and robotic control, reflecting a research direction centered on intelligent and human-interactive robotic technologies. [3]

Keywords

Robotics; SLAM; brain-computer interface; teleoperation; machine learning; LiDAR; autonomous navigation; obstacle avoidance; robotic assistive systems; engineering innovation.

Introduction

Nandikolla’s research sits at the intersection of robotics and intelligent computational systems. Published studies investigate how sensing, localization, learning, and human control can be integrated into mobile and assistive robots. Her work on EEG-based BCI teleoperation further extends robotics toward interfaces that can translate brain activity into control commands. [5]

Research Profile

  • Engineering research focused on robotics and autonomous systems.
  • Research emphasis on SLAM, navigation, and obstacle avoidance.
  • Integration of BCI, machine learning, and robotic teleoperation.

Research Contributions

Key contributions include evaluation of Extended Kalman Filter odometry for 2D LiDAR SLAM, omnidirectional mobile-robot obstacle avoidance, EEG-based robotic arm teleoperation, and semi-autonomous assistive robotics using SLAM. Additional work has examined machine-learning approaches for harvesting brain signals. [3] [4] [5] [6] [7]

Publications

The publication record includes peer-reviewed studies in robotics, SLAM, BCI, and engineering diagnostics. A 2026 Sensors article evaluates Extended Kalman Filter odometry in 2D LiDAR SLAM, while earlier publications address obstacle avoidance, BCI teleoperation, assistive mobile robotics, and machine-learning methods for brain signals. [3] [7]

Research Impact

The supplied research profile records 25 documents, 136 citations, and an h-index of 5. These indicators provide quantitative context for the research record, while the publication topics demonstrate sustained engagement with robotics and intelligent engineering systems. Citation metrics should be interpreted alongside publication quality, research relevance, and scholarly contribution. [1]

Award Suitability

The profile is relevant to the Innovative Research Award because it presents a coherent body of engineering research addressing autonomous navigation, robotic intelligence, human–machine interfaces, and assistive technologies. The combination of experimental robotics and computational methods provides an appropriate scholarly basis for consideration within the Global Innovation Technologist Awards. [3] [5]

Conclusion

Vidya Nandikolla’s research profile reflects a multidisciplinary engineering program connecting robotics, SLAM, machine learning, BCI, and teleoperation. The documented publication record and citation indicators provide evidence of scholarly activity, while the thematic consistency of the work supports its relevance to an innovation-focused academic recognition program.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Vidya Nandikolla, Author ID 8339231200. Scopus.
    https://www.scopus.com/pages/authors/8339231200
  2. Merrick, C., & Nandikolla, V. (2026). Evaluating the Impact of Extended Kalman Filter Odometry on the Performance of 2D LiDAR SLAM Algorithms. Sensors.
    https://doi.org/10.3390/s26175468
  3. Nandikolla, V., & Ghoslin, B. (2023). Obstacle Avoidance for Omnidirectional Mobile Robot Using SLAM. ASME Journal of Engineering and Science in Medical Diagnostics and Therap.
    https://doi.org/10.1115/1.4055689
  4. Nandikolla, V., & Medina Portilla, D. A. (2022). Teleoperation Robot Control of a Hybrid EEG-Based BCI Arm Manipulator Using ROS. Journal of Robotics, 2022.
    https://doi.org/10.1155/2022/5335523
  5. Matsuno, K., Nandikolla, V., Ghoslin, B., & Medina Portilla, D. A. (2022). A brain-computer interface for teleoperation of a semi-autonomous mobile robotic assistive system using SLAM. Journal of Robotics.
    https://doi.org/10.1155/2021/6178917
  6. Matsuno, K., & Nandikolla, V. (2022). Harvesting brain signals using machine learning methods. ASME Journal of Engineering and Science in Medical Diagnostics and Therapy.
    https://doi.org/10.1115/1.4053064
Vidya Nandikolla | Engineering | Innovative Research Award

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