Madali Nabil
Papers
2
Total Citations
7
H-Index
2
About
Madali Nabil is a robotics researcher whose work bridges autonomous exploration and human-robot collaboration. Her key research areas include multi-robot systems, simultaneous localization and mapping (SLAM), and collaborative industrial robotics. Nabil’s major contribution lies in developing a heterogeneous multi-robot system for rescue missions, where she introduced a novel approach using SLAM maps to accelerate exploration by extracting points of interest and directing an “eye-bot” explorer toward them. This work, published in 2016, has garnered 4 citations and laid groundwork for efficient search-and-rescue operations. In her 2022 study on human-collaborative robotic manipulators, Nabil designed and evaluated a control architecture that enables safe, shared workspaces between humans and robots in industrial settings, addressing the critical challenge of breaking down physical barriers to foster closer human-robot interaction. This paper, with 3 citations, reflects her commitment to advancing practical, human-centered robotics. Nabil’s achievements demonstrate a focused trajectory from autonomous mapping to collaborative systems, highlighting her ability to tackle real-world problems with innovative, integrated solutions.
Research Focus
Key Achievements
Top Papers
- 1Rescue Missions Bots using Active SLAM and Map Feature Extraction4 citations · 2016
- 2