6 citations · 14 across the 6 of their papers we have counts for
6 papers
Trade-off between reconstruction loss and feature alignment for domain generalization
Thuan Nguyen, Boyang Lyu, Prakash Ishwar +2
Domain generalization (DG) is a branch of transfer learning that aims to train the learning models on several seen domains and subsequently apply these pre-trained models to other…
Decision-Theoretic Question Generation for Situated Reference Resolution: An Empirical Study and Computational Model
Felix Gervits, Gordon Briggs, Antonio Roque +4
Dialogue agents that interact with humans in situated environments need to manage referential ambiguity across multiple modalities and ask for help as needed. However, it is not cl…
How Should Agents Ask Questions For Situated Learning? An Annotated Dialogue Corpus
Felix Gervits, Antonio Roque, Gordon Briggs +2
Intelligent agents that are confronted with novel concepts in situated environments will need to ask their human teammates questions to learn about the physical world. To better un…
Robot Development and Path Planning for Indoor Ultraviolet Light Disinfection
Jonathan Conroy, Christopher Thierauf, Parker Rule +5
Regular irradiation of indoor environments with ultraviolet C (UVC) light has become a regular task for many indoor settings as a result of COVID-19, but current robotic systems at…
SPOTTER: Extending Symbolic Planning Operators through Targeted Reinforcement Learning
Vasanth Sarathy, Daniel Kasenberg, Shivam Goel +2
Symbolic planning models allow decision-making agents to sequence actions in arbitrary ways to achieve a variety of goals in dynamic domains. However, they are typically handcrafte…
"Can you do this?" Self-Assessment Dialogues with Autonomous Robots Before, During, and After a Mission
Tyler Frasca, Evan Krause, Ravenna Thielstrom +1
Autonomous robots with sophisticated capabilities can make it difficult for human instructors to assess its capabilities and proficiencies. Therefore, it is important future robots…