Papers
2
Total Citations
5
H-Index
1
About
Md. Ether Deowan is a rising researcher at the intersection of assistive robotics and autonomous navigation, with a focus on developing intelligent mobility solutions for vulnerable populations. His work addresses two critical challenges: enhancing the quality of life for individuals with physical impairments through accessible robotic systems, and advancing autonomous navigation in complex, unstructured environments. Deowan’s most cited paper, “A Simulation of a Robot Operating System Based Autonomous Wheelchair with Web Based HMI Using Rosbridge” (2023, 4 citations), proposes a ROS-based autonomous wheelchair with a web-based human-machine interface, aimed at providing mobility support to an aging society and enabling independent living. More recently, his 2025 study, “Optimizing Underwater Robot Navigation: A Study of DRL Algorithms and Multi-Modal Sensor Fusion” (1 citation), tackles the formidable challenges of autonomous underwater navigation—poor visibility and limited localization—by benchmarking deep reinforcement learning algorithms like PPO and TRPO. This work demonstrates his versatility in applying cutting-edge AI to real-world robotic systems. Though early in his career, Deowan’s research bridges critical gaps in assistive technology and autonomous exploration, signaling a promising trajectory in human-centered robotics.
Research Focus
Key Achievements
Top Papers
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