Papers
10
Total Citations
80
H-Index
6
About
Muhammad Umer Farooq is a robotics and control systems researcher whose work spans robot motion planning, flexible joint manipulation, and rehabilitation robotics. His early contributions in the early 2000s established novel analytical approaches to configuration space obstacle computation and collision-free path planning for cooperative robotic arms, addressing fundamental challenges of efficiency and completeness in motion constraint representation. These foundational works collectively garnered significant attention within the robotics planning community. Farooq's most impactful research focuses on advanced control strategies for flexible joint robots, particularly hybrid force/position control schemes that account for real-world complexities such as end-effector friction — his 2008 paper on this topic remains his most cited work with 19 citations. He further extended this line of inquiry through adaptive sliding-mode controllers and sliding observer-based designs, demonstrating a sustained commitment to robust, practical robot control. His implementation of an open-architecture PC-based controller for the PUMA 512 robot reflects a parallel interest in accessible, reconfigurable hardware systems. More recently, Farooq has expanded into medical robotics, contributing a highly timely 2025 review on ankle rehabilitation devices for stroke patients, already accumulating 8 citations. His career reflects a coherent trajectory from classical motion planning toward intelligent, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2Implementation of a new PC based controller for a PUMA robot13 citations · 2007
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- 10Kinematic motion constraints in the robot's joint space2 citations · 2002