Safe pomdp online planning among dynamic agents via adaptive conformal prediction
Online planning for partially observable Markov decision processes (POMDPs) provides
efficient techniques for robot decision-making under uncertainty. However, existing methods …
efficient techniques for robot decision-making under uncertainty. However, existing methods …
Value alignment and trust in human-robot interaction: Insights from simulation and user study
With the advent of AI technologies, humans and robots are increasingly teaming up to
perform collaborative tasks. To enable smooth and effective collaboration, the topic of value …
perform collaborative tasks. To enable smooth and effective collaboration, the topic of value …
Investigating the Impact of Trust in Multi-Human Multi-Robot Task Allocation
Trust is essential in human-robot collaboration. Even more so in multi-human multi-robot
teams where trust is vital to ensure teaming cohesion in complex operational environments …
teams where trust is vital to ensure teaming cohesion in complex operational environments …
Sound heuristic search value iteration for undiscounted POMDPs with reachability objectives
Partially Observable Markov Decision Processes (POMDPs) are powerful models for
sequential decision making under transition and observation uncertainties. This paper …
sequential decision making under transition and observation uncertainties. This paper …