3 accepted papers
Interactive preference learning systems infer human preferences by presenting queries as pairs of options and collecting binary choices. Although binary choices are simple and widely used, they provide limited information about preference strength. To address this, we leverage human response times,…
Robots deployed in airports, malls, and stadiums today require expert oversight, pre-provided maps, and infrastructure. These systems are engineered to their specific deployment spaces and rely heavily on geometric maps for motion planning. In this work we consider a robot with only local-sensing an…
Robot navigation in human spaces today largely relies on the construction of precise geometric maps and a global motion plan. In this work, we navigate with only local sensing by using available signage - as designed for humans - in human-made environments such as airports. We propose a formalizatio…