Search Results for author:
Found 6 papers, 3 papers with code
Learning-To-Rank Approach for Identifying Everyday Objects Using a Physical-World Search Engine
Therefore, we focus on the task of retrieving target objects from open-vocabulary user instructions in a human-in-the-loop setting, which we define as the learning-to-rank physical objects (LTRPO) task.
DialMAT: Dialogue-Enabled Transformer with Moment-Based Adversarial Training
This paper focuses on the DialFRED task, which is the task of embodied instruction following in a setting where an agent can actively ask questions about the task.
Fully Automated Task Management for Generation, Execution, and Evaluation: A Framework for Fetch-and-Carry Tasks with Natural Language Instructions in Continuous Space
This paper aims to develop a framework that enables a robot to execute tasks based on visual information, in response to natural language instructions for Fetch-and-Carry with Object Grounding (FCOG) tasks.
Switching Head-Tail Funnel UNITER for Dual Referring Expression Comprehension with Fetch-and-Carry Tasks
The results show that our method outperforms the baseline method in terms of language comprehension accuracy.
Relational Future Captioning Model for Explaining Likely Collisions in Daily Tasks
Domestic service robots that support daily tasks are a promising solution for elderly or disabled people.
