18 citations · 33 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
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…
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…