Akhil Masetti
Papers
2
Total Citations
14
H-Index
2
About
Akhil Masetti is a robotics researcher whose work focuses on integrating perception systems for assistive applications, particularly through the Robot Operating System (ROS). His primary research areas include computer vision, speech recognition, and sensor fusion for human-robot interaction. Masetti’s most cited paper, "Integration of Vision based Robot Manipulation using ROS for Assistive Applications" (2020, 11 citations), demonstrates how real-time object recognition using YOLO v3 can enhance robotic automation for assistive tasks, enabling robots to perceive and manipulate objects in dynamic environments. He further advanced this work in "Integration of Speech and Vision for Perception in Assistive Robots Using Robot Operating System" (2021, 3 citations), where he combined auditory and visual inputs to create more intuitive human-robot interfaces. By bridging vision and speech modalities, Masetti’s contributions are paving the way for more capable and accessible assistive robots that can understand and respond to human needs. His research holds promise for applications in healthcare, elder care, and rehabilitation, where robots must operate safely and effectively alongside people.
Research Focus
Key Achievements
Top Papers
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