Akkamahadevi Hanni

2 accepted papers

2026

Safe Explicable Policy Search

Akkamahadevi Hanni, Jonathan Montano, Yu (Tony) Zhang

ICRA 2026poster

When users work with AI agents, they form conscious or subconscious expectations of them. Meeting user expectations is crucial for such agents to engage in successful interactions and teaming. However, users may form expectations of an agent that differ from the agent’s planned behaviors. These diff…

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2021

Generating Active Explicable Plans in Human-Robot Teaming

Akkamahadevi Hanni, Yu Zhang

IROS 2021poster

Intelligent robots are redefining a multitude of critical domains but are still far from being fully capable of assisting human peers in day-to-day tasks. An important requirement of collaboration is for each teammate to maintain and respect an understanding of the others’ expectations of itself. La…

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