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Dynamics and Controls for Autonomy and Intelligence Lab at Clemson
- Clemson, SC, United States
- @sriram2528
- in/sriramsundarks
Stars
Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to release these ones as my own technical book for beginners.
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
This repository contains CartPole simulator with its GUI, implemented controller (LQR) and generator of random desired position trace. It also contains files to train and test RNN predicting future…
High-Performance Symbolic Regression in Python and Julia
Highly recommended resources for SLAM newbies (Lecture, Reviewed paper, Books, Tutorial, etc)
Julia package for computing Hamilton-Jacobi Reachability of optimal 2-player (control/disturbance) differential games via Hopf optimization
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2024)
A virtual simulation platform for autonomous vehicle sensing, mapping, control and behaviour methods using ROS 2 and Gazebo.
Simulation of a quadreped robot in gazebo
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
This is the Simulation(Animation) of Inverted Pendulum's Swing up & Balance Control, For Swing up Control: Energy based Collocated Feedback Linearization Control, For Balance it at a top: LQR Control
ICRA 2023 tutorial on ROS 2 and the new Gazebo (MT28, ICC Capital Suite 14)
Pure Pursuit Control and SE(2) Planning
A proof of concept using the DroneBlocks Go1-JS library for movement of the Unitree Go1 quadruped robot
This repository contains code blocks that can be used to solve Assignments for Data Driven Learning course offered at Clemson University
A trajectory optimizer that can make quadrupeds backflip.
Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
This repo is used to develop code for time-varying density functions
Understanding Deep Learning - Simon J.D. Prince