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Found 9 papers, 3 papers with code
Dialog Acts for Task Driven Embodied Agents
Embodied agents need to be able to interact in natural language – understanding task descriptions and asking appropriate follow up questions to obtain necessary information to be effective at successfully accomplishing tasks for a wide range of users.
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI
The Alexa Prize program has empowered numerous university students to explore, experiment, and showcase their talents in building conversational agents through challenges like the SocialBot Grand Challenge and the TaskBot Challenge.
Multimodal Contextualized Plan Prediction for Embodied Task Completion
Task planning is an important component of traditional robotics systems enabling robots to compose fine grained skills to perform more complex tasks.
DialGuide: Aligning Dialogue Model Behavior with Developer Guidelines
These guidelines provide information about the context they are applicable to and what should be included in the response, allowing the models to generate responses that are more closely aligned with the developer's expectations and intent.
Dialog Acts for Task-Driven Embodied Agents
Embodied agents need to be able to interact in natural language understanding task descriptions and asking appropriate follow up questions to obtain necessary information to be effective at successfully accomplishing tasks for a wide range of users.
TEACh: Task-driven Embodied Agents that Chat
Robots operating in human spaces must be able to engage in natural language interaction with people, both understanding and executing instructions, and using conversation to resolve ambiguity and recover from mistakes.
Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women
To develop intervention chatbots, the first step is to understand natural language conversation strategies in human conversation.
My Turn To Read: An Interleaved E-book Reading Tool for Developing and Struggling Readers
Literacy is crucial for functioning in modern society.
Leveraging Multimodal Dialog Technology for the Design of Automated and Interactive Student Agents for Teacher Training
We used the open-source multimodal dialog system HALEF to implement a small-group classroom math discussion involving Venn diagrams where a human teacher candidate has to interact with two student ECAs whose actions are controlled by the dialog system.
