Mecharithm - Robotics and Mechatronics
The word Mecharithm comes from Mechatronics and Algorithm. You'll find everything from learning to news to podcasts about Robotics, Mechatronics, VR, AR, and AI! Welcome aboard, and let's learn together! Mecharithm's mission is to make robotics accessible, understandable, enjoyable, and available to everyone!
In this channel:
We categorize robotics news into playlists based on the kinematics of robots:
- Arm robots: serial or parallel
- Soft/ Compliant robots
- Wheeled robots: single, two, three, or more wheels
- Legged robots: bipedal, quadruped, hexapod
- Aerial robots: drones, aircraft, etc.
- Aquatic robots
- Humanoids: mechanical replicas of humans
- Wearable robots
In the learning part, all series courses are placed into a single playlist where you can access all lessons.
The tutorials and learning material are proprietary to Mecharithm, but they can be sampled with proper attribution to the main source | ©️2023 Mecharithm
Сквозной цикл проектирования и разработки медицинских устройств | Дэниел Кристадосс
Занятие 2: Установка интерфейса ROS2 Humble и запуск робота в симуляции и реальности
Class Activity 1: Introducing the PincherX 100 Robot Arm and Vision Kit
Intro to ROS2 Simulation and Visualization Tools
Prerequisite: Introduction to Robot Operating System ROS2
Intro to the Robotics Video Series | Dr. Madi
Obstacle-aware Navigation with Maximum-clearance Path Selection by Matt and AJ
Obstacle-aware Navigation with Maximum-clearance Path Selection by Ethan and Nhat
Basic Motion Control of the Wheeled Mobile Robot ‐ Forward, Backward, Turning, and Stopping + Guide
WheelArm-Sim: a Manipulation and Navigation Combined Multimodal Synthetic Data Generation Simulator
Modern Robotics I Project at SLU: Pick and Place Using Camera Feedback and ROS 2 Control + Bloopers
Improving Robotic Arms through Natural Language Processing, Computer Vision, and Edge Computing
Deployment of Large Language Models to Control Mobile Robots at the Edge
Competition Between Two wheeled Robot Cars - Mechatronics at SLU
CNNs Case Study on a Robotic Assistive Device | ML in Robotics Course | Lesson 11
Vision‐Aided Screw Theory-based Numerical Inverse Kinematics of the Robot Arm Challenge #3
Vision‐Aided Screw Theory-based Numerical Inverse Kinematics of the Robot Arm Challenge #2
Vision‐Aided Screw Theory-based Numerical Inverse Kinematics of the Robot Arm Challenge #1
Project 2 ‐ 1: Screw-theory-based Inverse Kinematics Implementation #5 for Modern Robotics Course
Project 2 ‐ 1: Screw-theory-based Inverse Kinematics Implementation #4 for Modern Robotics Course
Student Submission for Modern Robotics Project 1 Taught by Dr. Madi at SLU
Modern Robotics HW 5 (Kinova Gen 3's FK Using PoE) Submissions (See description for the links)
Modern Robotics Lab 10 (Forward Kinematics Using PoE) Submissions (See description for the links)
How Convolutional Neural Networks (CNNs) Work | ML in Robotics Course | Lesson 10
Lab 5: Exploring DOFs and Joint Types in the PincherX 100 Robot Arm plus DOFs Practice Questions
Lab 4: Working with Python‐ROS API and a Simple Pick‐and‐Place Task Student Submissions
Lab 2: ROS2 Humble Interface Installation & Running the Robot in Simulation & Reality Student Report
Prerequisite: Introduction to Python Programming with Emphasis on Robotics Applications
How to Uninstall Ubuntu 22.04 LTS
How to Install Ubuntu 22.04 for ROS2 humble