Search Results for author: Ashitava Ghosal

Found 4 papers, 1 papers with code

Robust Quadrupedal Locomotion on Sloped Terrains: A Linear Policy Approach

1 code implementation30 Oct 2020 Kartik Paigwar, Lokesh Krishna, Sashank Tirumala, Naman Khetan, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya

In particular, the parameters of the end-foot trajectories are shaped via a linear feedback policy that takes the torso orientation and the terrain slope as inputs.

Learning Stable Manoeuvres in Quadruped Robots from Expert Demonstrations

no code implementations28 Jul 2020 Sashank Tirumala, Sagar Gubbi, Kartik Paigwar, Aditya Sagi, Ashish Joglekar, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya

First, multiple simpler policies are trained to generate trajectories for a discrete set of target velocities and turning radius.

Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots

no code implementations15 May 2019 Shounak Bhattacharya, Abhik Singla, Abhimanyu, Dhaivat Dholakiya, Shalabh Bhatnagar, Bharadwaj Amrutur, Ashitava Ghosal, Shishir Kolathaya

In this work, we provide a simulation framework to perform systematic studies on the effects of spinal joint compliance and actuation on bounding performance of a 16-DOF quadruped spined robot Stoch 2.

Realizing Learned Quadruped Locomotion Behaviors through Kinematic Motion Primitives

no code implementations9 Oct 2018 Abhik Singla, Shounak Bhattacharya, Dhaivat Dholakiya, Shalabh Bhatnagar, Ashitava Ghosal, Bharadwaj Amrutur, Shishir Kolathaya

Leveraging on this underlying structure, we then realize walking in Stoch by a straightforward reconstruction of joint trajectories from kMPs.

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