96 citations · 369 across the 74 of their papers we have counts for
8 papers · 1 filter
Dynamic Mirror Descent based Model Predictive Control for Accelerating Robot Learning
Utkarsh A. Mishra, Soumya R. Samineni, Prakhar Goel +6
Recent works in Reinforcement Learning (RL) combine model-free (Mf)-RL algorithms with model-based (Mb)-RL approaches to get the best from both: asymptotic performance of Mf-RL and…
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…
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…
Gait Library Synthesis for Quadruped Robots via Augmented Random Search
Sashank Tirumala, Aditya Sagi, Kartik Paigwar +5
In this paper, with a view toward fast deployment of learned locomotion gaits in low-cost hardware, we generate a library of walking trajectories, namely, forward trot, backward tr…
Learning Active Spine Behaviors for Dynamic and Efficient Locomotion in Quadruped Robots
Shounak Bhattacharya, Abhik Singla, Abhimanyu +5
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…
Design, Development and Experimental Realization of a Quadrupedal Research Platform: Stoch
Dhaivat Dholakiya, Shounak Bhattacharya, Ajay Gunalan +5
In this paper, we present a complete description of the hardware design and control architecture of our custom built quadruped robot, called the `Stoch'. Our goal is to realize a r…