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Raviteja Upadrashta

3 accepted papers

2021

Spatial Reasoning from Natural Language Instructions for Robot Manipulation

ICRA 2021poster

Robots that can manipulate objects in unstructured environments and collaborate with humans can benefit immensely by understanding natural language. We propose a pipelined architecture of two stages to perform spatial reasoning on the text input. All the objects in the scene are first localized, and…

Cited by 40SourceScholar
2021

Translating Natural Language Instructions to Computer Programs for Robot Manipulation

IROS 2021poster

It is highly desirable for robots that work alongside humans to be able to understand instructions in natural language. Existing language conditioned imitation learning models directly predict the actuator commands from the image observation and the instruction text. Rather than directly predicting…

Cited by 15SourceScholar
2020

Multi-Instance Aware Localization for End-to-End Imitation Learning

IROS 2020poster

Existing architectures for imitation learning using image-to-action policy networks perform poorly when presented with an input image containing multiple instances of the object of interest, especially when the number of expert demonstrations available for training are limited. We show that end-to-e…

Cited by 1SourceScholar