Erteza Tawsif Efaz

Ahsanullah University of Science and Technology

Papers

1

Total Citations

7

H-Index

1

About

Erteza Tawsif Efaz is a researcher in robotics and embedded systems, with a focus on autonomous navigation and intelligent control. His most-cited work, "Design of an Indicative Featured and Speed Controlled Obstacle Avoiding Robot" (2019, 7 citations), presents a foundational contribution to mobile robotics by integrating Arduino UNO and Adafruit Motor Shield technologies. This paper demonstrates a robotic unit capable of real-time object detection and autonomous path planning, where the control logic is implemented through Arduino IDE. The work's significance lies in its practical approach to speed-controlled obstacle avoidance, offering a scalable framework for educational and prototyping applications in robotics. Efaz's research addresses key challenges in autonomous navigation, particularly in developing cost-effective solutions for obstacle detection and decision-making. His contributions have been cited in subsequent studies exploring similar embedded systems and robotics applications, indicating their relevance in the field. Through this work, Efaz has established a foundation for accessible robotics research, enabling students and researchers to build upon his methodologies for more advanced autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Design of an Indicative Featured and Speed Controlled Obstacle Avoiding Robot
7 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Ahsanullah University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago