Papers
7
Total Citations
109
H-Index
5
About
Shamsudeen Abubakar is a robotics researcher whose work sits at the critical intersection of healthcare automation, human-robot interaction, and assistive robotic systems. His research has been largely driven by one of healthcare's most pressing challenges: the global nursing shortage and the physical toll that caregiving demands place on medical professionals. Abubakar has made significant contributions to the development of ARNA (Autonomous Robotic Nursing Assistant), a mobile service robot designed to collaborate with nurses in clinical environments, with his two primary papers on this system accumulating over 80 citations combined since 2020. Beyond system design, Abubakar has advanced the technical foundations of safe physical human-robot interaction (pHRI), exploring joint torque estimation using base force-torque sensors and developing neuroadaptive controllers for omni-directional mobile platforms. His earlier work addressed fundamental robotics challenges, including optimal accelerometer placement for robot arm pose estimation and adaptive teleoperation interfaces. These contributions collectively reflect a researcher committed to bridging theoretical robotics with real-world healthcare applications. His growing citation record demonstrates meaningful influence on the field of service robotics, particularly among engineers and clinicians exploring automation as a sustainable solution to workforce shortages in modern healthcare settings.
Research Focus
Key Achievements
Top Papers
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- 6Optimal accelerometer placement on a robot arm for pose estimation4 citations · 2017
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