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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Robot Arm 2D Forward / Inverse Kinematics
Published:
Demonstrations of deterministic robot arm movements using FK / IK
Model Predictive Control in Basic Autonomous Vehicle
Published:
Interactive demonstrations of Model Predictive Control (MPC) for autonomous vehicles, including lane keeping, lane changing, and obstacle avoidance systems.
Kalman Filter
Published:
Article Goal
Explain the Kalman Filter algorithm for optimal state estimation in “noisy” dynamic systems
Proportional-Integral-Derivative (PID) Control
Published:
Article Goal
Explain PID Control algorithm for feedback control systems in robotics and automation
Diffusion Policy
Published:
Article Goal
Explain Diffusion Policy algorithm for visuomotor policy learning in robotics
Model Predictive Path Integral (MPPI)
Published:
Article Goal
Explain MPPI (Model Predictive Path Integral) algorithm for stochastic optimal control
Neural RRT*
Published:
Article Goal
Explain Neural RRT* (Neural Rapidly-exploring Random Tree Star) algorithm for learning-based optimal path planning
Fast Marching Trees (FMT*)
Published:
Article Goal
Explain FMT* (Fast Marching Tree) algorithm for optimal motion planning
Trajectory Optimization (TrajOpt)
Published:
Article Goal
Explain TrajOpt (Trajectory Optimization using Sequential Convex Programming)
Stochastic Trajectory Optimization for Motion Planning (STOMP)
Published:
Article Goal
Explain STOMP (Stochastic Trajectory Optimization for Motion Planning)
Covariant Hamiltonian Optimization for Motion Planning (CHOMP)
Published:
Article Goal
Explain CHOMP (Covariant Hamiltonian Optimization for Motion Planning) in detail with visualizations and code implementations.
RRT*
Published:
Article Goal
Explain in the most straightforward way how RRT* (Rapidly-exploring Random Tree Star) works. This is an asymptotically optimal variant of RRT that continuously improves path quality through rewiring.
RRT
Published:
Article Goal
Explain in the most straightforward way how RRT (Rapidly-exploring Random Tree) works. This sampling-based algorithm is widely used in robotics and autonomous systems for path planning in complex environments.
D* (Unfinished)
Published:
Article Goal
Explain in the most straightforward way how D*’s Algorithm works and why it’s essential for dynamic pathfinding.
A*
Published:
Article Goal
Explain in the most straightforward way how A*’s Algorithm works. Diagrams included!
Dijkstra’s Algorithm:
Published:
Article Goal
Explain in the most straightforward way how Dijkstra’s Algorithm works (With cool diagrams!). This is my first time writing and I figured this would be a fun way to get started!
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