Bharat Kashyap Karri

University of Maryland, Baltimore, University of Maryland, Baltimore County

Papers

Total Citations

H-Index

About

Bharat Kashyap Karri is a rising researcher at the intersection of robotics and biomimetic motor control, with a core focus on enabling natural human-robot interaction through hand gesture recognition. His work centers on the innovative application of motor synergies—a concept from neuroscience that describes how the brain coordinates complex movements using a reduced set of control signals. In his most cited work, "Biomimetic learning of hand gestures in a humanoid robot" (2024, 12 citations), Karri demonstrates how robotic systems can learn and replicate human hand gestures by mimicking these neural coordination patterns, significantly improving the intuitiveness of human-robot collaboration. His earlier foundational study, "Learning Hand Gestures using Synergies in a Humanoid Robot" (2023, 6 citations), established a novel framework for translating biological motor principles into robotic control architectures. Together, these contributions have garnered growing attention, with his papers accumulating over 18 citations in just two years—a strong indicator of impact in the rapidly evolving field of social robotics. Karri’s work not only advances robotic dexterity but also bridges the gap between computational neuroscience and practical engineering, offering a scalable pathway toward more expressive and responsive humanoid robots.