Despite the existence of robots that can physically lift heavy loads, robots that can
collaborate with people to move heavy objects are not readily available. This article makes …

In this paper, we introduce a Markov chain Monte Carlo (MCMC) method to solve multi-
objective motion-planning problems. We formulate the problem of finding Pareto-optimal …

An important part of expressing human intent is identifying acceptable tradeoffs among
competing performance objectives. We present and evaluate a set of graphical user …

A major barrier to effective spatial decision-making in human-agent teams is that humans
and algorithms use different mechanisms to solve spatial problems, frequently leading them …

Measuring how well a potential solution to a problem matches the problem-holder's intent
and detecting when a current solution no longer matches intent is important when designing …

This dissertation models human intent for a robot navigation task, managed by a human and
undertaken by a robot in a dynamic, multi-objective environment. Intent is expressed by a …

As robots perform tasks in human-occupied environments and especially when those tasks
are collaborative, people are increasingly interested in understanding the robots' behaviors …

Humans and robots think in different ways: humans evaluate qualitatively while robots
process quantitative data. For example, a human may say “I am at the east of the building” in …