Task planning systems have been developed to help robots use human knowledge (about
actions) to complete long-horizon tasks. Most of them have been developed for “closed …

As social robots see increasing deployment within the general public, improving the
interaction with those robots is essential. Spoken language offers an intuitive interface for …

Human-robot collaboration frequently requires extensive communication, eg, using natural
language and gesture. Augmented reality (AR) has provided an alternative way of bridging …

Automated task planning algorithms have been developed to help robots complete complex
tasks that require multiple actions. Most of those algorithms have been developed for" …

When a robot aims to comprehend its human partner's request by identifying the referenced
objects in Human-Robot Conversation, ambiguities can occur because the environment …

Organizations are increasingly delegating customer inquiries to speech dialog systems
(SDSs) to save personnel resources. However, customers often report frustration when …

In this work, we present methods for using human-robot dialog to improve language
understanding for a mobile robot agent. The agent parses natural language to underlying …

Natural language processing helps the computer to process human languages. In general,
human language is presented either in the form of text or speech utterances. Speech based …

Abstract Reasoning with declarative knowledge (RDK) and sequential decision-making
(SDM) are two key research areas in artificial intelligence. RDK methods reason with …

In human-robot collaboration domains, augmented reality (AR) technologies have enabled
people to visualize the state of robots. Current AR-based visualization policies are designed …