16 citations · 25 across the 5 of their papers we have counts for
5 papers
ToolTango: Common sense Generalization in Predicting Sequential Tool Interactions for Robot Plan Synthesis
Shreshth Tuli, Rajas Bansal, Rohan Paul +1
Robots assisting us in environments such as factories or homes must learn to make use of objects as tools to perform tasks, for instance using a tray to carry objects. We consider…
Learning Backward Compatible Embeddings
Weihua Hu, Rajas Bansal, Kaidi Cao +3
Embeddings, low-dimensional vector representation of objects, are fundamental in building modern machine learning systems. In industrial settings, there is usually an embedding tea…
A Survey on Bias and Fairness in Natural Language Processing
Rajas Bansal
As NLP models become more integrated with the everyday lives of people, it becomes important to examine the social effect that the usage of these systems has. While these models un…
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…
ToolNet: Using Commonsense Generalization for Predicting Tool Use for Robot Plan Synthesis
Rajas Bansal, Shreshth Tuli, Rohan Paul +1
A robot working in a physical environment (like home or factory) needs to learn to use various available tools for accomplishing different tasks, for instance, a mop for cleaning a…