1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2025
Safe Explicable Policy Search
Akkamahadevi Hanni, Jonathan Montaño, Yu Zhang
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…
cs.RO2023
Safe Explicable Planning
Akkamahadevi Hanni, Andrew Boateng, Yu Zhang
Human expectations arise from their understanding of others and the world. In the context of human-AI interaction, this understanding may not align with reality, leading to the AI…
cs.RO2021★ 1 cited
Generating Active Explicable Plans in Human-Robot Teaming
Akkamahadevi Hanni, Yu Zhang
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…