activity
20152024
most citedImitation Learning for High Precision Peg-in-Hole Tasks

18 citations · 35 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2024

GeniL: A Multilingual Dataset on Generalizing Language

Aida Mostafazadeh Davani, Sagar Gubbi, Sunipa Dev +2

Generative language models are transforming our digital ecosystem, but they often inherit societal biases, for instance stereotypes associating certain attributes with specific ide…

cs.CV2020

Scene Text Detection for Augmented Reality -- Character Bigram Approach to reduce False Positive Rate

Sagar Gubbi, Bharadwaj Amrutur

Natural scene text detection is an important aspect of scene understanding and could be a useful tool in building engaging augmented reality applications. In this work, we address…

cs.RO2020

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

Sagar Gubbi Venkatesh, Raviteja Upadrashta, Shishir Kolathaya +1

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…

cs.RO2020★ 18 cited

Imitation Learning for High Precision Peg-in-Hole Tasks

Sagar Gubbi, Shishir Kolathaya, Bharadwaj Amrutur

Industrial robot manipulators are not able to match the precision and speed with which humans are able to execute contact rich tasks even to this day. Therefore, as a means overcom…

cs.CV2020★ 10 cited

One-Shot Object Localization Using Learnt Visual Cues via Siamese Networks

Sagar Gubbi Venkatesh, Bharadwaj Amrutur

A robot that can operate in novel and unstructured environments must be capable of recognizing new, previously unseen, objects. In this work, a visual cue is used to specify a nove…

cs.RO2020★ 5 cited

Teaching Robots Novel Objects by Pointing at Them

Sagar Gubbi Venkatesh, Raviteja Upadrashta, Shishir Kolathaya +1

Robots that must operate in novel environments and collaborate with humans must be capable of acquiring new knowledge from human experts during operation. We propose teaching a rob…

cs.RO2020

Translating Natural Language Instructions to Computer Programs for Robot Manipulation

Sagar Gubbi Venkatesh, Raviteja Upadrashta, Bharadwaj Amrutur

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 dire…

cs.RO2020

Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations

Sashank Tirumala, Sagar Gubbi, Kartik Paigwar +6

With the research into development of quadruped robots picking up pace, learning based techniques are being explored for developing locomotion controllers for such robots. A key pr…

cs.CV2015★ 2 cited

Risk Estimation Without Using Stein's Lemma -- Application to Image Denoising

Sagar Venkatesh Gubbi, Chandra Sekhar Seelamantula

We address the problem of image denoising in additive white noise without placing restrictive assumptions on its statistical distribution. In the recent literature, specific noise…