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followers: 13.0 following: 72.0 repos: 23.0 gists: 1.0

Name: Aman Singh

Type: User

Company: Stoch Lab, RBCCPS, IISc

Bio: PhD scholar at @StochLab, RBCCPS, IISc. I like to design and control dynamic robotic systems, with particular interest in legged robots.

Location: Bengaluru, Karnataka, India

Hi there šŸ‘‹

I am a PhD scholar at Stoch Lab, IISc. I am currently working with Dr. Shishir N Y Kolathaya.

  • šŸš€ My current research interest lie in the field of designing and control of dynamic legged robots.
  • šŸ”­ Iā€™m currently working on developing mechanical designs for quadruped robots.
  • šŸŒ± Iā€™m currently learning ROS, Pybullet and MuJoCo.
  • šŸ’¬ I am happy to share my experiences in robotics and am eager to listen to yours too.
  • šŸ“« How to reach me: Mail me on [email protected] or [email protected]

Aman Singh's Projects

e1-277-reinforcement-learning icon e1-277-reinforcement-learning

This repo contains Lecture notes, assignment, tests and solutions for the course I took at IISc during 2nd semester of my PhD

learningbycheating icon learningbycheating

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

legged-robots icon legged-robots

This repository contains papers in the field of legged robots.

motion_imitation icon motion_imitation

Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"

optimtraj icon optimtraj

A trajectory optimization library for Matlab

research-paper-notes icon research-paper-notes

This repo contains the notes for the papers I have read & understood and the topics I have studied

rf-mpc icon rf-mpc

Representation-Free Model Predictive Control for Dynamic Quadruped

robotics-tutorials icon robotics-tutorials

This repo contains some tutorials and installation steps for some useful robotics softwares

vitruvio icon vitruvio

Vitruvio is a framework for rapid leg design analysis and optimization for legged robots. The purpose of the simulation framework is to guide the early stages of legged robot design. The end effectors track an input trajectory and the necessary joint speed, torque, power and energy for the tracking is computed.

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