Akshaya S. Kankanhalli-Nagendra
Papers
3
Total Citations
56
H-Index
3
About
Akshaya S. Kankanhalli-Nagendra is a roboticist whose research focuses on bridging the gap between autonomous perception and reliable manipulation in industrial settings, particularly for bin-picking applications. Her major contributions address the critical challenge of perception uncertainty, which often leads to system failures when robots attempt to grasp randomly oriented parts from bins. In her most-cited work (40 citations), she systematically identifies failure modes induced by perception uncertainty and proposes robust strategies to mitigate them, enhancing the reliability of robotic bin-picking systems. Her innovative approach also includes a human-robot collaboration framework (9 citations) that enables robots to autonomously detect when their perception confidence is low and request remote human assistance, effectively combining automation efficiency with human-level problem-solving. Additionally, her foundational work on estimating task execution confidence (7 citations) provides a quantitative basis for robots to self-assess their capabilities before attempting grasps. Through these contributions, Kankanhalli-Nagendra has advanced the practical deployment of robotic systems in unstructured environments, making them more resilient and adaptable for real-world manufacturing applications.
Research Focus
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Top Papers
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