3 accepted papers
Learning from Demonstration (LfD) is a well-studied field shown to provide robots with fundamental motion skills for a variety of domains. Significant research into various branches of LfD (e.g., learned dynamical systems and movement primitives) can generally be classified into those that learn ``t…
As robots' manipulation capabilities improve for pick-and-place tasks (e.g., object packing, sorting, and kitting), methods focused on understanding human-acceptable object configurations remain limited expressively with regard to capturing spatial relationships important to humans. To advance robot
When an AI system interacts with multiple users, it frequently needs to make allocation decisions. For instance, a virtual agent decides whom to pay attention to in a group, or a factory robot selects a worker to deliver a part.Demonstrating fairness in decision making is essential for such systems…