Learning Guide — Coursera

Robotics: Perception and Navigation

Explore how robots perceive the world and navigate autonomously.

Intermediate1 hours totalself paced
Save to read later — works without an account
Coursera
Prerequisites

Before you start

  • Basic Python familiarity
  • Comfort with algebra or calculus basics
  • Interest in robotics systems
Course Detail

About this guide

Explore how robots perceive the world and navigate autonomously.

Frequently Asked

Common questions

What will I learn in Robotics: Perception and Navigation?

Explore how robots perceive the world and navigate autonomously.

Is Robotics: Perception and Navigation free?

HumanoidHub has not verified public pricing for this guide. Open Coursera 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.

Continue Learning

Related guides

All guides →
AI For Everyone

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

intermediate
A neural blueprint for human-like intelligence in soft robots

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

intermediate
A new model offers robots precise pick-and-place solutions

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

intermediate
Expanding on Tutorials | MIT Learn

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.

intermediate
How to AI (Almost) Anything | MIT Learn

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

intermediate
Industrial Robotics

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

intermediate
Skills Apply To

Robots that use these skills

Share This Guide

Links include UTM tags so we can credit referrers.

Referral Program

Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.

Join referral list
Coursera
Robotics: Perception and Navigation
Find
Weekly Robotics Brief

New robots, funding, and signals. Every Thursday.

Unsubscribe anytime.