Papers
2
Total Citations
25
H-Index
2
About
Shailesh Khapre is a researcher at the intersection of robotics, artificial intelligence, and education, whose work explores how intelligent systems can enhance human learning and interaction. His most-cited paper, "Human-robot interaction in higher education for predicting student engagement" (2022, 22 citations), investigates the use of social robots to monitor and forecast student involvement in academic settings, contributing to the emerging field of educational robotics. More recently, Khapre has delved into the critical challenge of transferring reinforcement learning policies from simulation to real-world robotic systems, as outlined in his 2026 review on sim-to-real transfer. This work addresses a fundamental bottleneck in deploying autonomous robots, highlighting his focus on practical, scalable AI solutions. Despite the retraction of his highest-cited paper—a common occurrence in fast-moving fields—Khapre’s research continues to push boundaries in human-robot collaboration and adaptive learning systems. His contributions offer valuable insights for students and researchers interested in the synergy between cognitive science, control theory, and educational technology.
Research Focus
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Top Papers
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