Robotics: Computational Motion Planning
Learn computational techniques for robot motion planning, including algorithms for navigating complex environments.
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
Learn computational techniques for robot motion planning, including algorithms for navigating complex environments.
Common questions
What will I learn in Robotics: Computational Motion Planning?
Learn computational techniques for robot motion planning, including algorithms for navigating complex environments.
Is Robotics: Computational Motion Planning 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.
Related guides
Advanced Topics in Humanoid Robotics
Explore advanced concepts in humanoid robot design, motion planning, and machine learning.
Fundamentals of Robotics & Industrial Automation
The "Fundamentals of Robotics & Industrial Automation" course is tailored to provide a comprehensive understanding of essential concepts and practical skills necessary for excelling in the field of collaborative robotics. Through three dynamic modules, participants will explore the intricacies of se
Industrial Robot Programming Essentials
Dive into the dynamic world of simulation physics, where you'll integrate Gravity into your programs for realistic performance evaluation. Unlock advanced capabilities to auto-generate robot paths, streamlining processes and ensuring optimal functionality. Delve into Cycle Time Analysis, where you'
MIT xPRO | Robotics Essentials
MiT xPRO's Robotics Essentials program provides you with the knowledge and resources to identify basic robotic subsystems, evaluate human-robot interactions, and analyze challenges to the implementation of robotic systems. This program is an ideal launchpad if you want to chart a path in full-s
[PDF] An accessible, hands-on tutorial system for image-guided therapy ...
potential cases of breast or prostate cancer) on a phantom created out of standard LEGO pieces. In this way, tutorial participants work with both hardware and software while being exposed to all of the typical steps of an IGT or medical robotics procedure, including imaging, preoperative planning, t
Advancing Continual Learning for Robotics Applications
With engaging videos, interactive presentations, detailed notes, hands-on tutorials, and quizzes after every section to evaluate the learned concepts, this course is designed to help you master the topic and their real-world applications. Whether you’re new to CL or looking to expand your knowledge
Robots that use these skills
.jpg)
Hubo (KHR-2 based platform)
HUBO
HUBO (KHR-2 based) is a full-size biped humanoid research platform developed at KAIST. It is reported at 41 DOF, ~125 cm tall, and ~55 kg.
Hubo 2
HUBO
HUBO 2 is a KAIST Hubo Lab humanoid research robot focused on bipedal locomotion for walking and stair traversal studies.
Hubo FX-1
HUBO
HUBO FX-1 is an early HUBO humanoid robot platform from KAIST used for biped locomotion and human-carrying mobility research.
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.