Cognitive maps for mobile robots—an object based approach

S Vasudevan, S Gächter, V Nguyen… - Robotics and Autonomous …, 2007 - Elsevier
Robots are rapidly evolving from factory work-horses to robot-companions. The future of
robots, as our companions, is highly dependent on their abilities to understand, interpret and …

Mobile robot programming using natural language

S Lauria, G Bugmann, T Kyriacou, E Klein - Robotics and Autonomous …, 2002 - Elsevier
How will naive users program domestic robots? This paper describes the design of a
practical system that uses natural language to teach a vision-based robot how to navigate in …

Just ask: An interactive learning framework for vision and language navigation

TC Chi, M Shen, M Eric, S Kim… - Proceedings of the AAAI …, 2020 - ojs.aaai.org
In the vision and language navigation task (Anderson et al. 2018), the agent may encounter
ambiguous situations that are hard to interpret by just relying on visual information and …

Training personal robots using natural language instruction

S Lauria, G Bugmann, T Kyriacou, J Bos… - IEEE Intelligent …, 2001 - ieeexplore.ieee.org
Training personal robots using natural language instruction - Intelligent Systems, IEEE [see
also IEEE Expert] Page 1 38 1094-7167/01/$10.00 © 2001 IEEE IEEE INTELLIGENT …

DNN-HMM based automatic speech recognition for HRI scenarios

J Novoa, J Wuth, JP Escudero, J Fredes… - Proceedings of the …, 2018 - dl.acm.org
In this paper, we propose to replace the classical black box integration of automatic speech
recognition technology in HRI applications with the incorporation of the HRI environment …

Automatic speech recognition for indoor hri scenarios

J Novoa, R Mahu, J Wuth, JP Escudero… - ACM Transactions on …, 2021 - dl.acm.org
This article presents a stand-alone automatic speech recognition system that accounts for
listener movement, time-varying reverberation effects, environmental noise, and user …

Spoken language interaction with model uncertainty: an adaptive human–robot interaction system

F Doshi, N Roy - Connection Science, 2008 - Taylor & Francis
Spoken language is one of the most intuitive forms of interaction between humans and
agents. Unfortunately, agents that interact with people using natural language often …

A dialogue system for multimodal human-robot interaction

L Lucignano, F Cutugno, S Rossi, A Finzi - Proceedings of the 15th ACM …, 2013 - dl.acm.org
This paper presents a POMDP-based dialogue system for multimodal human-robot
interaction (HRI). Our aim is to exploit a dialogical paradigm to allow a natural and robust …

Confidant: A privacy controller for social robots

B Tang, D Sullivan, B Cagiltay… - 2022 17th ACM/IEEE …, 2022 - ieeexplore.ieee.org
As social robots become increasingly prevalent in day-to-day environments, they will
participate in conversations and appropriately manage the information shared with them …

Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios

A Diaz, R Mahu, J Novoa, J Wuth, J Datta… - Computer Speech & …, 2021 - Elsevier
Social robotics is becoming a reality and voice-based human-robot interaction is essential
for a successful human-robot collaborative symbiosis. The main objective of this paper is to …