242 citations · 391 across the 47 of their papers we have counts for
4 papers · 2 filters
LAMP: Learning a Motion Policy to Repeatedly Navigate in an Uncertain Environment
Florence Tsang, Tristan Walker, Ryan A. MacDonald +2
Mobile robots are often tasked with repeatedly navigating through an environment whose traversability changes over time. These changes may exhibit some hidden structure, which can…
Joint Estimation of Expertise and Reward Preferences From Human Demonstrations
Pamela Carreno-Medrano, Stephen L. Smith, Dana Kulic
When a robot learns from human examples, most approaches assume that the human partner provides examples of optimal behavior. However, there are applications in which the robot lea…
Active Preference Learning using Maximum Regret
Nils Wilde, Dana Kulic, Stephen L. Smith
We study active preference learning as a framework for intuitively specifying the behaviour of autonomous robots. In active preference learning, a user chooses the preferred behavi…
Universally Safe Swerve Manoeuvres for Autonomous Driving
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
This paper characterizes safe following distances for on-road driving when vehicles can avoid collisions by either braking or by swerving into an adjacent lane. In particular, we f…