Papers

2

Total Citations

34

H-Index

2

About

Kumar Gaurav is a researcher at the forefront of autonomous systems and assistive robotics, with a focus on making advanced technology both accessible and practical. His work spans two critical domains: the software infrastructure for self-driving vehicles and brain-computer interfaces (BCI) for mobility assistance. In his highly cited 2022 paper, Gaurav detailed the design and development of a complete software stack for an autonomous vehicle using the Robot Operating System (ROS), a contribution that has garnered 29 citations and serves as a foundational resource for researchers building low-cost, modular autonomous platforms. More recently, he has tackled the challenge of bringing BCI technology out of the clinic and into everyday life. His 2023 study on EEG control of a robotic wheelchair introduces a low-cost, open-source hardware solution that overcomes the traditional barriers of high cost and poor reliability, achieving 5 citations in a short time. By prioritizing affordability and open-source principles, Gaurav is not only advancing the field of human-robot interaction but also paving the way for assistive technologies that can truly empower individuals with disabilities.

Research Focus

Key Achievements

2
H-Index
2
Papers
34
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Design and development of software stack of an autonomous vehicle using robot operating system
29 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Chandigarh University, Indian Institute of Technology Roorkee

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago