630 citations · 1.3k across the 25 of their papers we have counts for
3 papers · 1 filter
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 to Engage with Interactive Systems: A Field Study on Deep Reinforcement Learning in a Public Museum
Lingheng Meng, Daiwei Lin, Adam Francey +3
Physical agents that can autonomously generate engaging, life-like behaviour will lead to more responsive and interesting robots and other autonomous systems. Although many advance…
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…