Sridhar R. Anumandla
Papers
2
Total Citations
14
H-Index
2
About
Sridhar R. Anumandla is a pioneering researcher at the intersection of neuroscience and robotics, specializing in neurorobotic trust, intent recognition, and human–robot interaction (HRI). His work explores how biological principles—particularly the role of oxytocin as a social neurotransmitter—can be modeled to enhance robotic systems’ ability to build and sustain trusting relationships with humans. In his landmark 2012 paper, “Real-time human–robot interaction underlying neurorobotic trust and intent recognition,” Anumandla demonstrated how robots could dynamically interpret human intent and adapt their behavior to foster trust, a contribution that has garnered 9 citations and laid groundwork for socially-aware autonomous systems. His 2011 study, “Modeling oxytocin induced neurorobotic trust and intent recognition,” drew on human pharmacological fMRI evidence to computationally simulate oxytocin’s effects on social bonding, offering a novel framework for embedding emotional intelligence in machines. Though his citation counts are modest, Anumandla’s work is notable for bridging cognitive neuroscience and robotics, anticipating current trends in affective computing. His research remains influential for students and engineers seeking to design robots that interact with humans in more natural, empathetic, and trustworthy ways.
Research Focus
Key Achievements
Top Papers
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