Altab Hossain
Papers
5
Total Citations
43
H-Index
3
About
Altab Hossain’s research lies at the intersection of robotics, human-robot interaction, and sensor-based automation, with a focus on enabling robots to perceive and act intelligently in real-world environments. His most influential work, “Object recognition through human-robot interaction by speech” (2005, 21 citations), tackles a core challenge in service robotics: integrating spoken commands with robust visual recognition. Hossain proposed an interactive vision system that overcomes the limitations of conventional object detection in complex scenes, allowing helper robots to accurately identify objects specified by users. This contribution is foundational to developing robots that can assist in homes or workplaces through natural communication. He also advanced sensor reliability in “Issues of Connectivity, Durability, and Reliability of Sensors and Their Applications” (2014, 15 citations), addressing practical deployment challenges. His work on automatic throwing robots (2016) and comparative gesture recognition methods further demonstrates his commitment to versatile, autonomous systems. With over 40 total citations, Hossain’s research has informed the design of more responsive and dependable service robots, making him a notable figure in applied robotics and sensor technology.
Research Focus
Key Achievements
Top Papers
- 1Object recognition through human-robot interaction by speech21 citations · 2005
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- 5Interactive vision to detect target objects for helper robots2 citations · 2005