Papers
7
Total Citations
168
H-Index
4
About
Safdar Zaman is a robotics researcher whose work centers on autonomous navigation, fault diagnosis, and system reliability for ROS-based robots. His most influential contribution, "ROS-based mapping, localization and autonomous navigation using a Pioneer 3-DX robot and their relevant issues" (2011), has garnered 104 citations and remains a foundational reference for researchers tackling the challenges of indoor autonomous navigation in dynamic environments. Zaman’s key contributions include developing an integrated model-based diagnosis and repair architecture for ROS-based systems (2013, 47 citations), which addresses the critical problem of run-time faults in heterogeneous robotic systems. He has also explored logic-based planning for robotic navigation (2017) and optimized path planning (2018), aiming to reduce memory and processing overhead. His work on fault detection using sensor data trends (2019) further advances the reliability of autonomous mapping. Through these efforts, Zaman has made significant strides in making autonomous robots more robust and self-sufficient, particularly in the ROS ecosystem. His research is essential reading for students and engineers working on practical, fault-tolerant robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Automated Generation of Diagnosis Models for ROS-based Robot Systems5 citations · 2013
- 4Robotic navigation based on logic-based planning4 citations · 2017
- 5Planning-based optimized path for automatic robot navigation3 citations · 2018
- 6
- 7Fault Detection Using Sensors Data Trends for Autonomous Robotic Mapping2 citations · 2019