S. S. Manimaran

Papers

Total Citations

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About

S. S. Manimaran is a researcher whose work lies at the intersection of human-robot interaction and intelligent systems, with a particular focus on enabling seamless, natural communication between humans and machines. His most-cited paper, "Activity Recognition for Natural Human Robot Interaction" (2014), has garnered 44 citations, establishing a foundational approach for robots to interpret and respond to human gestures and behaviors in real-time. This contribution is pivotal for advancing assistive robotics, where understanding human intent is crucial for safe and intuitive collaboration. Beyond this key work, Manimaran’s research explores sensor-based activity recognition and machine learning algorithms that enhance robotic perception, aiming to bridge the gap between human actions and robotic responses. His impact is evident in the growing interest in his methods, which have been cited in studies on healthcare robotics, autonomous navigation, and human-robot teamwork. By focusing on practical, real-world applications, Manimaran has helped shape how robots can become more responsive partners in everyday environments, making his work a valuable resource for students and researchers in robotics and artificial intelligence.