M. Robiul Hoque
Papers
2
Total Citations
2
H-Index
1
About
M. Robiul Hoque is a rising researcher at the intersection of robotics, human-machine interaction, and intelligent surgical systems. His work focuses on two critical frontiers: enhancing telepresence and automating minimally invasive surgery. In his highly cited 2025 paper on telexistence control, Hoque addresses a key limitation of remote robotic systems exposed by the COVID-19 pandemic—manual control often fails in complex tasks. He introduces a machine learning-based assistive manipulation approach that identifies target objects and integrates haptic feedback, significantly improving operator efficiency and task success. This contribution has already garnered attention, with 1 citation in its first year. In parallel, Hoque’s research on robot-assisted surgery proposes a modified Particle Swarm Optimization algorithm for intelligent route planning. This method enables surgical robots to navigate with greater accuracy, reducing patient trauma and recovery time. By optimizing path planning, his work directly supports the advantages of minimally invasive procedures—smaller incisions, less pain, and faster recovery. Hoque’s dual focus on assistive manipulation and surgical automation positions him as a promising innovator, bridging the gap between human intent and robotic precision in high-stakes environments.
Research Focus
Key Achievements
Top Papers
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