Control of Mobile Robots
Understand the principles of controlling mobile robots, including AI and navigation systems.
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
Understand the principles of controlling mobile robots, including AI and navigation systems.
Common questions
What will I learn in Control of Mobile Robots?
Understand the principles of controlling mobile robots, including AI and navigation systems.
Is Control of Mobile Robots free?
HumanoidHub has not verified public pricing for this guide. Open edX 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 neural blueprint for human-like intelligence in soft robots
A new AI control system enables soft robotic arms to learn a wide repertoire of motions and tasks once, then adjust to new scenarios on the fly without needing retraining or sacrificing functionality. The work was co-led by researchers at the Singapore-MIT Alliance for Research and Technology (SMART
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
AI For Everyone
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI terminology, including neural networks, machine learning
Expanding on Tutorials | MIT Learn
<p>Kyle Keane talks about the logistics and purpose of expanding on tutorials, and how this is related to creating, inventing, and learning.
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
Robots that use these skills
Dex
Richtech Robotics
Dex is a mobile humanoid service robot from Richtech Robotics for commercial customer-facing environments.
VinRobotics District 1
VinRobotics
District 1 is a VinRobotics humanoid robot platform aimed at industrial and service labor applications.
Cart
Macco Robotics
Cart is a wheeled service robot from Macco Robotics for autonomous food and beverage delivery in hospitality venues.
Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.
Join referral listNew robots, funding, and signals. Every Thursday.
Unsubscribe anytime.