robotic motion planning library
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Updated
Jan 15, 2024 - Python
robotic motion planning library
Julia implementation of various rigid body dynamics and kinematics algorithms
An efficient, extensible occupancy map supporting probabilistic occupancy, normal distribution transforms in CPU and GPU.
🔥 💪 Official Project: A Robust and Effective LiDAR-SLAM System with Learning-based Denoising and Loop Closure (DLC-SLAM, TMECH-2023)
Collection of classes and functions to allow 2D/3D path generation with heuristic algorithms such as A*, Theta* and LazyTheta* and ROS Interfaces
S-Curve trajectory generator written in rust
This project consists of research on a 6 degree of freedom robot. A 3D model of the robot has been made on Unity to demonstrate Forward and Inverse Kinematics. Important concepts in robotics like Singularities, Path planning and Motion Control are explained as well.
C++ implementation of RRT and its variants (robotics algorithms used in motion planning).
Formation control for a multi-agent system in a bidimensional space. Various types of formations available. Implementation in ROS2 Foxy.
This is a repo containing my work in implementing common swarm robotics algorithms using the Webots simulator.
STRIPS Planning in Infinite Domains
A powerful library for robotics analysis 🤖
Implement a navigational robot that performs global planning using A* and local planning using Vector Field Histogram (VFH) to help navigate the robot from start to end for a given map.
This Create Own Python Robotics Simulator using pygames course is a small initive for steping towards AI and , use of most widly popular computer language PYTHON for everybody who are involve in robotics in our country and are just wandering with embedded system and mechanics .
A code to solve 8 Puzzle game using A star algorithm.
Library for line coverage and arc rouing for single and multiple robots
RRT Planner for Lynx 6DOF robotic arm.
Learning Aided Semantic Bayesian Kernel Inference for 3D Semantic Global Mapping
Analytical solvers for Differential Drive, Reeds-Shepp car, and Dubins Car for finding optimal trajectories.
My goal is to come up with a simple and a basic model of an obstacle avoiding bot with the best possible algorithm to detect and avoid an obstacle using only One Ultrasonic Sensor module (HCSR04) and 2 wheels. The project is still into development to find even better an algorithm to achieve the same task.
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