2 citations · 3 across the 4 of their papers we have counts for
5 papers
GoalNet: Inferring Conjunctive Goal Predicates from Human Plan Demonstrations for Robot Instruction Following
Shreya Sharma, Jigyasa Gupta, Shreshth Tuli +2
Our goal is to enable a robot to learn how to sequence its actions to perform tasks specified as natural language instructions, given successful demonstrations from a human partner…
TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators
Shreshth Tuli, Rajas Bansal, Rohan Paul +1
Robots assisting us in factories or homes must learn to make use of objects as tools to perform tasks, e.g., a tray for carrying objects. We consider the problem of learning common…
Multi-facet Universal Schema
Rohan Paul, Haw-Shiuan Chang, Andrew McCallum
Universal schema (USchema) assumes that two sentence patterns that share the same entity pairs are similar to each other. This assumption is widely adopted for solving various type…
Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning
Kevin A. Thomas, Dominik Krzemiński, Łukasz Kidziński +7
Objective: We evaluate a fully-automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin echo (MESE) MRI. We…
Temporal Grounding Graphs for Language Understanding with Accrued Visual-Linguistic Context
Rohan Paul, Andrei Barbu, Sue Felshin +2
A robot's ability to understand or ground natural language instructions is fundamentally tied to its knowledge about the surrounding world. We present an approach to grounding natu…