mdecourse Goto Github PK

simbody

High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton.

simextassimp

CoppeliaSim plugin for importing/exporting CAD data

simextb0

BlueZero middleware plugin for CoppeliaSim

simextcodeeditor

Code edition plugin for CoppeliaSim

simextdynamics

Source code to build the various dynamics plugins for CoppeliaSim (based on Bullet, ODE, Vortex and Newton)

simextgeom

Geometry calculation plugin for CoppeliaSim

simextik

Kinematics calculation plugin for CoppeliaSim

simextim

Image plugin for CoppeliaSim

simextluacmd

Lua REPL (read-eval-print loop) plugin for CoppeliaSim

simextluaparser

Parser for Lua code.

simextmtb

CoppeliaSim Plugin for the demo MTB robot model

simextpluginskeleton

CoppeliaSim plugin that is a simple skeleton

simextremoteapi

CoppeliaSim plugin that represents the server side of the Remote API

simextrml2

CoppeliaSim plugin that offers the functionality of the Reflexxes Motion Library type 2

simextui

Qt Custom User Interface plugin for CoppeliaSim

simexturdf

CoppeliaSim plugin that offers a URDF importer

simextzmq

simple-neural-network-js

Simple Neural Network library (JavaScript)

simple_flask

Stripped down demonstration of flask.

simulated-multi-robot-arm-object-passing-system

Final project for 'ECE470: Intro to Robotics' at UIUC. Python code+API to create a robot simulation in Vrep software. Robot arm forward/inverse kinematics, automation system design, path planning (collision avoidance)

site-40623128

site-40623128 created by GitHub Classroom

site-40623130

site-40623130 created by GitHub Classroom

site-40623224

site-40623224 created by GitHub Classroom

slitherin

AI research environment for the game of Snake 🐍 .

slvstopy

Python library for reading a SolveSpace file as a python-solvespace system - work in progress

smart-robotic-arm-pick-and-place-using-matlab-and-v-rep

Robotic Arm picking and placing was a group project. Group members where Xinjang Yang; Anshul Sungra and Haonan Peng. Simulation Video can be found here: https://www.youtube.com/watch?v=65FFMoTsIAQ

smart_snake

Playing the snake game using DQN.

snake

The game snake (for playing by yourself run snake_env.py). Deep Reinforcement Learning agent learns to play the game (run agent_1.py)..

snake-1

Artificial intelligence for the Snake game.

snake-2

This project uses Q-Learning, Hamiltonian Cycles and Breadth First Search to play Snake. Mazes can also be drawn for the snake to navigate through.