61 citations · 75 across the 8 of their papers we have counts for
9 papers
Integrating Planning, Execution and Monitoring in the presence of Open World Novelties: Case Study of an Open World Monopoly Solver
Sriram Gopalakrishnan, Utkarsh Soni, Tung Thai +3
The game of monopoly is an adversarial multi-agent domain where there is no fixed goal other than to be the last player solvent, There are useful subgoals like monopolizing sets of…
When Exceptions are the Norm: Exploring the Role of Consent in HRI
Vasanth Sarathy, Thomas Arnold, Matthias Scheutz
HRI researchers have made major strides in developing robotic architectures that are capable of reading a limited set of social cues and producing behaviors that enhance their like…
Augmenting Robot Knowledge Consultants with Distributed Short Term Memory
Tom Williams, Ravenna Thielstrom, Evan Krause +2
Human-robot communication in situated environments involves a complex interplay between knowledge representations across a wide variety of modalities. Crucially, linguistic informa…
Quasi-Dilemmas for Artificial Moral Agents
Daniel Kasenberg, Vasanth Sarathy, Thomas Arnold +2
In this paper we describe moral quasi-dilemmas (MQDs): situations similar to moral dilemmas, but in which an agent is unsure whether exploring the plan space or the world may revea…
Interpretable Apprenticeship Learning with Temporal Logic Specifications
Daniel Kasenberg, Matthias Scheutz
Recent work has addressed using formulas in linear temporal logic (LTL) as specifications for agents planning in Markov Decision Processes (MDPs). We consider the inverse problem:…
AI Challenges in Human-Robot Cognitive Teaming
Tathagata Chakraborti, Subbarao Kambhampati, Matthias Scheutz +1
Among the many anticipated roles for robots in the future is that of being a human teammate. Aside from all the technological hurdles that have to be overcome with respect to hardw…
Norm Conflict Resolution in Stochastic Domains
Daniel Kasenberg, Matthias Scheutz
Artificial agents will need to be aware of human moral and social norms, and able to use them in decision-making. In particular, artificial agents will need a principled approach t…
The MacGyver Test - A Framework for Evaluating Machine Resourcefulness and Creative Problem Solving
Vasanth Sarathy, Matthias Scheutz
Current measures of machine intelligence are either difficult to evaluate or lack the ability to test a robot's problem-solving capacity in open worlds. We propose a novel evaluati…
Enabling Basic Normative HRI in a Cognitive Robotic Architecture
Vasanth Sarathy, Jason R. Wilson, Thomas Arnold +1
Collaborative human activities are grounded in social and moral norms, which humans consciously and subconsciously use to guide and constrain their decision-making and behavior, th…