Papers

1

Total Citations

11

H-Index

1

About

Bivas Basak is a researcher whose work sits at the intersection of assistive robotics and human-centered engineering, with a primary focus on developing low-cost, intelligent navigation aids for the visually impaired. His most cited paper, “Cost efficient autonomous navigation system (e-cane) for visually impaired human beings” (2017, 11 citations), introduces the e-cane—a smart, robotics-inspired device that uses ultrasonic sensors and a novel object-detection algorithm to detect obstacles both ahead and at ground level with high precision. This contribution is notable for its emphasis on affordability and accuracy, addressing a critical gap in assistive technology for the blind. Basak’s work demonstrates a commitment to translating complex robotic principles into practical, life-enhancing tools, making navigation safer and more autonomous for users. While his citation count reflects a focused, emerging impact, the e-cane project stands out for its potential to democratize access to navigation aids in resource-limited settings. For students and researchers, Basak’s research offers a compelling model of how engineering innovation can directly serve social needs, blending technical rigor with a clear humanitarian purpose.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Cost efficient autonomous navigation system (e-cane) for visually impaired human beings
11 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Bangladesh University of Engineering and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago