Aishwarya Padmakumar | DeepAI

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∙ 05/10/2023

Multimodal Contextualized Plan Prediction for Embodied Task Completion

Task planning is an important component of traditional robotics systems ...

0 Mert İnan, et al. ∙

∙ 09/26/2022

Dialog Acts for Task-Driven Embodied Agents

Embodied agents need to be able to interact in natural language understa...

0 Spandana Gella, et al. ∙

∙ 05/18/2022

On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets

Natural language guided embodied task completion is a challenging proble...

3 Hyounghun Kim, et al. ∙

∙ 10/01/2021

TEACh: Task-driven Embodied Agents that Chat

Robots operating in human spaces must be able to engage in natural langu...

7 Aishwarya Padmakumar, et al. ∙

∙ 06/15/2021

Generative Conversational Networks

Inspired by recent work in meta-learning and generative teaching network...

0 Alexandros Papangelis, et al. ∙

∙ 06/26/2020

Dialog as a Vehicle for Lifelong Learning

Dialog systems research has primarily been focused around two main types...

0 Aishwarya Padmakumar, et al. ∙

∙ 06/09/2020

Dialog Policy Learning for Joint Clarification and Active Learning Queries

Intelligent systems need to be able to recover from mistakes, resolve un...

0 Aishwarya Padmakumar, et al. ∙

∙ 03/01/2019

Improving Grounded Natural Language Understanding through Human-Robot Dialog

Natural language understanding for robotics can require substantial doma...

0 Jesse Thomason, et al. ∙

∙ 10/06/2018

Interaction and Autonomy in RoboCup@Home and Building-Wide Intelligence

Efforts are underway at UT Austin to build autonomous robot systems that...

0 Justin Hart, et al. ∙

∙ 08/29/2018

Learning a Policy for Opportunistic Active Learning

Active learning identifies data points to label that are expected to be ...

0 Aishwarya Padmakumar, et al. ∙

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