Ashitava Ghosal — accepted AI-conference papers

2020

Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach

Kartik Paigwar, Lokesh Krishna, sashank tirumala, naman khetan, aditya varma, ashish joglekar +4

CoRL 2020

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 2. In particular, the parameters of the end-foot trajectories are shaped via a linear feedback policy that takes the to

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2019

Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives

Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur +1

ICRA 2019poster

Humans and animals are believed to use a very minimal set of trajectories to perform a wide variety of tasks including walking. Our main objective in this paper is two fold 1) Obtain an effective tool to realize these basic motion patterns for quadrupedal walking, called the kinematic motion primiti…

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