182 citations · 874 across the 39 of their papers we have counts for
5 papers · 1 filter
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao, David Hsu, Wee Sun Lee +2
How can a delivery robot navigate reliably to a destination in a new office building, with minimal prior information? To tackle this challenge, this paper introduces a two-level hi…
Mathematical Models of Adaptation in Human-Robot Collaboration
Stefanos Nikolaidis, Jodi Forlizzi, David Hsu +2
A robot operating in isolation needs to reason over the uncertainty in its model of the world and adapt its own actions to account for this uncertainty. Similarly, a robot interact…
Grounding Spatio-Semantic Referring Expressions for Human-Robot Interaction
Mohit Shridhar, David Hsu
The human language is one of the most natural interfaces for humans to interact with robots. This paper presents a robot system that retrieves everyday objects with unconstrained n…
QMDP-Net: Deep Learning for Planning under Partial Observability
Peter Karkus, David Hsu, Wee Sun Lee
This paper introduces the QMDP-net, a neural network architecture for planning under partial observability. The QMDP-net combines the strengths of model-free learning and model-bas…
Human-Robot Mutual Adaptation in Shared Autonomy
Stefanos Nikolaidis, Yu Xiang Zhu, David Hsu +1
Shared autonomy integrates user input with robot autonomy in order to control a robot and help the user to complete a task. Our work aims to improve the performance of such a human…