Introduction to Robotics | Mechanical Engineering
This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking,
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actuators, and sensors; wireless networking, … [...] This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism desi
Common questions
What will I learn in Introduction to Robotics | Mechanical Engineering?
This course provides an overview of robot mechanisms, dynamics, and intelligent controls. Topics include planar and spatial kinematics, and motion planning; mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphic simulation; control design, actu
Is Introduction to Robotics | Mechanical Engineering free?
HumanoidHub has not verified public pricing for this guide. Open MIT OpenCourseWare for the current access terms before enrolling.
Do I need any prerequisites?
Recommended prep: Basic Python familiarity; Comfort with algebra or calculus basics; Interest in robotics systems.
How long does it take?
1 hours total. Most learners complete this guide in self-directed sessions over a few weeks.
Does it offer a certificate?
This guide does not include a formal certificate. Focus is on the learning material itself.
Related guides
A new model offers robots precise pick-and-place solutions
SimPLE (Simulation to Pick Localize and placE), a new model developed by MIT researchers, learns to pick, regrasp and place objects using object’s computer-aided design (CAD) model
Best robotics engineering courses and programs
Start by learning essential mathematics for robotics, including algebra, calculus, statistics, and probability. Physics concepts of motion, force, and laws of mechanics (Newton's laws) are also integral to working with robots. Once you've built that foundation, begin learning programming languages such as Python and C++.Introductory data analysis courses may also help you understand how robots process information. [...] Courses: Robotics engineering courses are best for learners seeking new ski
Explore the world of artificial intelligence with online courses from MIT | Open Learning
# Explore the world of artificial intelligence with online courses from MIT | Open Learning Skip to main content Search Image 1: Open Learning ## Main navigation For Learners & Organizations For MIT Faculty About us For OL Employees News Events ## Main Nav Buttons Give S
How to AI (Almost) Anything | MIT Learn
<p>Artificial Intelligence (AI) holds great promise as a technology to enhance digital productivity, physical interactions, overall well-being, and the human experience. To enable the true impact of AI, these systems will need to be grounded in real-world data modalities, from language-only sy
Industrial Robotics
Image 3Preview this course # Industrial Robotics Mathematical models and practical applications Created byFabrizio Frigeni Last updated 9/2019 English Image 4Preview this course Purchase options Subscribe and save From$13.00/month Access to 28,000+ top-rated courses Cancel anytime
Robotics & Mechatronics 1: Machine Theory & Production Lines
The purpose of this series is to be able to design machines, control them, Digital Twin them, and then actually build them! Who this course is for:.
Robots that use these skills
AgiBot G2
AgiBot
AgiBot G2 is an industrial humanoid robot platform built for versatile factory and logistics tasks, with onboard AI for long-sequence task execution.
AgiBot X1
AgiBot
AgiBot X1 is a 130 cm, 33 kg open-source humanoid platform with 34 DOF for research and education.
AiNex ROS Education AI Vision Humanoid Robot
Hiwonder
AiNex is a compact ROS-enabled educational humanoid robot from Hiwonder with an HD camera for AI vision experiments.
Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.
Join referral list