Nabila Shawki
Papers
1
Total Citations
5
H-Index
1
About
Nabila Shawki’s research focuses on the intersection of robotics, control systems, and adaptive automation, with a particular emphasis on payload-manipulating robotic systems. Her most-cited work, “Stability and Performance Analysis of a Payload-Manipulating Robot without Adaptive Control” (2020), has garnered 5 citations and provides critical insights into the stability and operational efficiency of robots handling variable loads without relying on adaptive control mechanisms. This contribution addresses a fundamental challenge in robotic manipulation—ensuring robust performance under uncertain payload conditions—and offers a framework for designing simpler, more reliable control architectures. Shawki’s analysis highlights trade-offs between stability margins and task precision, informing both theoretical advancements and practical implementations in industrial and service robotics. Her work is notable for bridging control theory with real-world robotic applications, making it valuable for researchers and engineers seeking to optimize robot performance in dynamic environments. Through her focused contributions, Shawki has established herself as a thoughtful voice in the robotics community, advancing understanding of how non-adaptive strategies can achieve effective payload handling.
Research Focus
Key Achievements
Top Papers
- 1