activity
20112023
most citedGaussian Processes for Data-Efficient Learning in Robotics and Control

667 citations · 2.8k across the 127 of their papers we have counts for

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5 papers · 1 filter

cs.AI2019

Prospection: Interpretable Plans From Language By Predicting the Future

Chris Paxton, Yonatan Bisk, Jesse Thomason +2

High-level human instructions often correspond to behaviors with multiple implicit steps. In order for robots to be useful in the real world, they must be able to to reason over bo…

cs.AI2015★ 17 cited

Building Hierarchies of Concepts via Crowdsourcing

Yuyin Sun, Adish Singla, Dieter Fox +1

Hierarchies of concepts are useful in many applications from navigation to organization of objects. Usually, a hierarchy is created in a centralized manner by employing a group of…

cs.AI2012★ 54 cited

The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach

Benjamin Stewart, Jonathan Ko, Dieter Fox +1

We present an application of hierarchical Bayesian estimation to robot map building. The revisiting problem occurs when a robot has to decide whether it is seeing a previously-buil…

cs.AI2012★ 79 cited

Recognizing Activities and Spatial Context Using Wearable Sensors

Amarnag Subramanya, Alvin Raj, Jeff A. Bilmes +1

We introduce a new dynamic model with the capability of recognizing both activities that an individual is performing as well as where that ndividual is located. Our model is novel…

cs.AI2011★ 5 cited

A Maximal Tractable Class of Soft Constraints

D. Cohen, M. Cooper, P. Jeavons +1

Many researchers in artificial intelligence are beginning to explore the use of soft constraints to express a set of (possibly conflicting) problem requirements. A soft constraint…