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  • 👋 Hi, I’m @Subhankhan41 working as a Postdoctoral Research Fellow at the University of Sydney, Australia.
  • 👀 I’m interested in deep reinforcement learning, model predictive control, autonomous and industrial robotic systems.
  • 🌱 I’m currently learning reinforcement learning based predictive planning and control.
  • 💞️ I’m looking to collaborate on perception, planning, and control of robotic systems.
  • 📫 How to reach me is via [email protected]

Subhan Khan's Projects

blackbox_mpc icon blackbox_mpc

Sampling based Model Predictive Control package for Model-Based RL research

grasp_ur5 icon grasp_ur5

This is a project about grasping by robot arm UR5. It`s maily used RGB-D camera and movelt! to calculate the kinetic of robot.

hilo-mpc icon hilo-mpc

HILO-MPC is a Python toolbox for easy, flexible and fast development of machine-learning-supported optimal control and estimation problems

irb120_robotiq85 icon irb120_robotiq85

Gazebo simulation + MoveIt for ABB IRB120 industrial robot with Robotiq85 gripper.

mpc-and-mhe-implementation-in-matlab-using-casadi icon mpc-and-mhe-implementation-in-matlab-using-casadi

This is a workshop on implementing model predictive control (MPC) and moving horizon estimation (MHE) on Matlab. The implementation is based on the Casadi Package which is used for numerical optimization. A non-holonomic mobile robot is used as a system for the implementation. The workshop video recording can be found here https://www.youtube.com/playlist?list=PLK8squHT_Uzej3UCUHjtOtm5X7pMFSgAL ... Casadi can be downloaded here https://web.casadi.org/

mpc-dl-controller icon mpc-dl-controller

Deep Neural Network architecture as a predictive optimal controller for {HVAC+Solar cell + battery} disturbance afflicted system vs classic Model Predictive Control

pyrep icon pyrep

A toolkit for robot learning research.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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