2 papers
cs.RO2024
Multi-Object Graph Affordance Network: Goal-Oriented Planning through Learned Compound Object Affordances
Tuba Girgin, Emre Ugur
Learning object affordances is an effective tool in the field of robot learning. While the data-driven models investigate affordances of single or paired objects, there is a gap in…
cs.RO2024
Bidirectional Human Interactive AI Framework for Social Robot Navigation
Tuba Girgin, Emre Girgin, Yigit Yildirim +2
Trustworthiness is a crucial concept in the context of human-robot interaction. Cooperative robots must be transparent regarding their decision-making process, especially when oper…