B. Suryakanth

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About

B. Suryakanth is a researcher focused on advancing robotic perception through artificial intelligence and sensor integration. His work spans two critical areas: object detection for autonomous systems and acoustic source localization in three-dimensional space. In his 2018 review paper, "Conventional Object Detection Techniques in Robotics: A Review" (4 citations), Suryakanth systematically examined how artificial intelligence enables robots to recognize objects and humans through vision—a foundational capability for autonomous operation in industrial and domestic settings. This work underscores his contribution to bridging computer vision with practical robotics. More recently, his 2021 experimental study, "Sound Source Localization in 3D using Asymmetrical Positioned and Skew Aligned Two-Array Microphone" (1 citation), tackles the challenge of giving robots human-like auditory cognition. By employing asymmetrical microphone arrays, Suryakanth explores how robots can detect sounds from all directions in three-dimensional space, moving beyond traditional 2D localization. His research demonstrates a commitment to multimodal perception, combining visual and auditory cues to create more aware, responsive autonomous systems. Suryakanth’s work contributes to the broader goal of developing robots that can navigate and interact with complex, real-world environments through enhanced sensory capabilities.