242 citations · 391 across the 47 of their papers we have counts for
6 papers · 2 filters
Robotic Coverage for Continuous Mapping Ahead of a Moving Vehicle
Barry Gilhuly, Stephen L. Smith
In this paper we investigate the problem of using a UAV to provide current map information of the environment in front of a moving ground vehicle. We propose a simple coverage plan…
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation
Nils Wilde, Alexandru Blidaru, Stephen L. Smith +1
An important challenge in human-robot interaction (HRI) is enabling non-expert users to specify complex tasks for autonomous robots. Recently, active preference learning has been a…
Learning a Lattice Planner Control Set for Autonomous Vehicles
Ryan De Iaco, Stephen L. Smith, Krzysztof Czarnecki
This paper introduces a method to compute a sparse lattice planner control set that is suited to a particular task by learning from a representative dataset of vehicle paths. To do…
Computing a Minimal Set of t-Spanning Motion Primitives for Lattice Planners
Alexander Botros, Stephen L. Smith
In this paper we consider the problem of computing an optimal set of motion primitives for a lattice planner. The objective we consider is to compute a minimal set of motion primit…
Multi-Robot Routing for Persistent Monitoring with Latency Constraints
Ahmad Bilal Asghar, Stephen L. Smith, Shreyas Sundaram
In this paper we study a multi-robot path planning problem for persistent monitoring of an environment. We represent the areas to be monitored as the vertices of a weighted graph.…
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions
Nils Wilde, Dana Kulic, Stephen L. Smith
Specifying complex task behaviours while ensuring good robot performance may be difficult for untrained users. We study a framework for users to specify rules for acceptable behavi…