Muhammad Abu Bakar
Papers
2
Total Citations
8
H-Index
2
About
Muhammad Abu Bakar is a researcher whose work bridges healthcare robotics and bio-inspired swarm intelligence, addressing critical challenges in both autonomous systems and collective decision-making. His most cited paper, "Cost Effective Solution for Minimization of Medical Errors and Acquisition of Vitals By Using Autonomous Nursing Robot" (2017, 6 citations), proposes a telepresence-based robotic system to mitigate medical errors by enabling remote monitoring of inpatients, particularly in settings where specialist doctors are scarce. This contribution highlights his focus on affordable, practical healthcare solutions that leverage robotics to improve patient safety and reduce human error. In his more recent work, "Understanding of Collective Decision-Making in Natural Swarms System, Applications and Challenges" (2021, 2 citations), Bakar explores decentralized control mechanisms inspired by biological swarms, aiming to develop artificial systems capable of achieving global tasks with minimal resources. While his citation counts are modest, his research demonstrates a clear trajectory from applied medical robotics to foundational studies in swarm intelligence, reflecting a commitment to both immediate problem-solving and long-term theoretical exploration. Bakar’s work is particularly relevant for students and researchers interested in the intersection of autonomous systems, healthcare technology, and bio-inspired algorithms.
Research Focus
Key Achievements
Top Papers
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- 2