activity
20162026
most citedInput-to-State Safety With Control Barrier Functions

324 citations · 420 across the 56 of their papers we have counts for

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Showing 2020Show all

8 papers · 1 filter

cs.LG2020

Stochastic Action Prediction for Imitation Learning

Sagar Gubbi Venkatesh, Nihesh Rathod, Shishir Kolathaya +1

Imitation learning is a data-driven approach to acquiring skills that relies on expert demonstrations to learn a policy that maps observations to actions. When performing demonstra…

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.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★ 6 cited

Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach

Kartik Paigwar, Lokesh Krishna, Sashank Tirumala +7

In this paper, with a view toward fast deployment of locomotion gaits in low-cost hardware, we use a linear policy for realizing end-foot trajectories in the quadruped robot, Stoch…

eess.SY2020

Safety-Critical Kinematic Control of Robotic Systems

Andrew Singletary, Shishir Kolathaya, Aaron D. Ames

Over the decades, kinematic controllers have proven to be practically useful for applications like set-point and trajectory tracking in robotic systems. To this end, we formulate a…

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.RO2020★ 35 cited

Local Stability of PD Controlled Bipedal Walking Robots

Shishir Kolathaya

We establish stability results for PD tracking control laws in bipedal walking robots. Stability of PD control laws for continuous robotic systems is an established result, and we…