Proactive Robotic Assistance via Theory of Mind
Maayan Shvo, Ruthrash Hari, Ziggy O’Reilly, Sophia Abolore, Sze-Yuh Nina Wang, Sheila A. McIlraith
- Year
- 2022
- Citations
- 19
Abstract
Advanced social cognitive skills enhance the effectiveness of human-robot interactions. Research shows that an important precursor to the development of these abilities in humans is Theory of Mind (ToM) - the ability to attribute mental states to oneself and to others. In this work, we endow robots with ToM abilities and propose a ToM-based approach to proactive robotic assistance by appealing to epistemic planning techniques. Our evaluation shows that robots implementing our approach and demonstrating ToM are measurably more helpful and perceived by humans as more socially intelligent compared to robots with a deficit in ToM.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002