Zulfiqar Ahmad Khan
Papers
2
Total Citations
7
H-Index
2
About
Zulfiqar Ahmad Khan is a robotics researcher specializing in the dynamics and control of mobile manipulators and humanoid robotic hands, with a particular focus on friction modeling and stable grasping for mission-critical applications. His work addresses the pressing need for specialized robotic equipment in disaster search and rescue operations, where reliable manipulation of heavy loads is essential. Khan’s most cited paper, “Dynamic Simulation of a Mobile Manipulator with Joint Friction” (2017, 4 citations), introduces a combined joint friction model to improve the performance and stability of manipulators mounted on mobile platforms, directly targeting challenges in hazardous environments. In his related work, “Modelling and Simulation of a Manipulator with Stable Viscoelastic Grasping Incorporating Friction” (2016, 3 citations), he extends this approach to humanoid robotic hands, designing a system based on anthropological dimensions that integrates viscoelastic materials and friction for secure, adaptive grasping. Though his citation counts are modest, Khan’s contributions are foundational for advancing robotic dexterity and reliability in unstructured, high-stakes settings, offering a pathway toward more capable rescue robots. His research bridges theoretical modeling and practical simulation, making him a valuable voice in the development of resilient robotic systems for emergency response.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Simulation of a Mobile Manipulator with Joint Friction4 citations · 2017
- 2