Dhruv Gaba

New York University

Papers

6

Total Citations

56

H-Index

5

About

Dhruv Gaba is a researcher whose work sits at the intersection of robotics, deep learning, and assistive technology. His key research areas include computer vision, human-robot interaction, and autonomous systems, with a particular focus on applications for accessibility and space exploration. Gaba’s most impactful contribution is his pioneering work on an “Intelligent Smart Glass for Visually Impaired Using Deep Learning Machine Vision Techniques and Robot Operating System (ROS),” which has garnered 23 citations and demonstrates a practical, real-world application of AI to aid the visually impaired. He has also made notable strides in dexterous manipulation with his work on an “Intelligent Multi-fingered Dexterous Hand Using Virtual Reality (VR) and ROS” (12 citations). Beyond Earth, Gaba has explored the frontier of space agriculture, designing a soft robotic hand for vertical farming in spacecraft and developing isolated bio-regenerative systems for food production in deep space colonization. His early work includes innovative designs for a self-driving car and a pet-feeding robot, showcasing a broad engineering curiosity. With a total citation count exceeding 50 across his most-cited papers, Gaba’s research is characterized by its blend of cutting-edge technology and tangible social and scientific impact.

Research Focus

Key Achievements

5
H-Index
6
Papers
56
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Smart Glass for Visually Impaired Using Deep Learning Machine Vision Techniques and Robot Operating System (ROS)
23 citations · 2018
📈 Most Prolific Year: 2018 (5 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: New York University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago