Gokul M K

Gokul M K

Robotics and AI Research Student

Posts by Tags

deep networks

Into the Diffusion World Part 1: DDPMs

8 minute read

Published:

This is a detailed blog on Denoising Diffusion Probabilistic Models. The objective is to present a comprehensive theoretical and mathematical background on DDPMs.

dynamics

Dynamics of Serial Robotic Manipulators

3 minute read

Published:

In this post, we’ll cover the essential knowledge needed to compute the dynamics of a general rigid serial robotic manipulator. We’ll use the Euler-Lagrange equations to derive the dynamics of the manipulator.

generative models

Into the Diffusion World Part 1: DDPMs

8 minute read

Published:

This is a detailed blog on Denoising Diffusion Probabilistic Models. The objective is to present a comprehensive theoretical and mathematical background on DDPMs.

lagrangian

Dynamics of Serial Robotic Manipulators

3 minute read

Published:

In this post, we’ll cover the essential knowledge needed to compute the dynamics of a general rigid serial robotic manipulator. We’ll use the Euler-Lagrange equations to derive the dynamics of the manipulator.

math

Reinforcement Learning: Dynamic Programming

2 minute read

Published:

This is a detailed blog on Dynamic Programming, a collection of algorithms to compute optimal policies in Reinforcement Learning. This post will cover the detailed math concepts.

Into the Diffusion World Part 1: DDPMs

8 minute read

Published:

This is a detailed blog on Denoising Diffusion Probabilistic Models. The objective is to present a comprehensive theoretical and mathematical background on DDPMs.

programming

Reinforcement Learning: Dynamic Programming

2 minute read

Published:

This is a detailed blog on Dynamic Programming, a collection of algorithms to compute optimal policies in Reinforcement Learning. This post will cover the detailed math concepts.

quaternions

reinforcement_learning

Reinforcement Learning: Dynamic Programming

2 minute read

Published:

This is a detailed blog on Dynamic Programming, a collection of algorithms to compute optimal policies in Reinforcement Learning. This post will cover the detailed math concepts.

robotics

Dynamics of Serial Robotic Manipulators

3 minute read

Published:

In this post, we’ll cover the essential knowledge needed to compute the dynamics of a general rigid serial robotic manipulator. We’ll use the Euler-Lagrange equations to derive the dynamics of the manipulator.

rotations