J. Swaroop Guntupalli
Papers
1
Total Citations
66
H-Index
1
About
J. Swaroop Guntupalli is a leading researcher at the intersection of artificial intelligence, cognitive science, and robotics. His work focuses on enabling machines to learn and transfer abstract concepts in ways that mirror human cognition. A standout contribution is his 2019 paper "Beyond imitation: Zero-shot task transfer on robots by learning concepts as cognitive programs," which has garnered 66 citations. In this work, Guntupalli demonstrates how robots can infer high-level concepts from image pairs—such as understanding the notion of "stacking" or "aligning"—and then apply those concepts in entirely new physical settings, like assembling IKEA furniture from diagrams. This breakthrough moves beyond simple imitation learning, showing how robots can grasp human intent and generalize tasks without prior exposure. His research has profound implications for human-robot interaction, making robots more adaptable and intuitive partners. Guntupalli’s work is widely recognized for bridging cognitive science and robotics, offering a path toward machines that truly understand and execute abstract goals.
Research Focus
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Top Papers
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