HMOD102 - Advanced Humanoid Robotics in Action - Udemy
This course equips students with cutting-edge skills to develop humanoid robots using Generative AI, specifically ChatGPT, to enhance real-world applications.
Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
This course equips students with cutting-edge skills to develop humanoid robots using Generative AI, specifically ChatGPT, to enhance real-world applications.
Common questions
What will I learn in HMOD102 - Advanced Humanoid Robotics in Action - Udemy?
This course equips students with cutting-edge skills to develop humanoid robots using Generative AI, specifically ChatGPT, to enhance real-world applications.
Is HMOD102 - Advanced Humanoid Robotics in Action - Udemy free?
HumanoidHub has not verified public pricing for this guide. Open Udemy 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?
Self-paced (provider defined). 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

Helping robots practice skills independently to adapt to unfamiliar environments
A robot rapidly specializes its skills using parameter policy learning, where the machine can rapidly specialize at specific, smaller actions within a long-horizon task. The MIT CSAIL algorithm enables autonomous practice to improve at mobile-manipulation activities.

Lecture 8.4: Stefanie Tellex - Human-Robot Collaboration | MIT Learn
<p><strong>Description: Human collaboration with robots that perform actions in real-world environments, carry out complex sequences of actions and actively coordinate with people, establishing a social-feedback loop. <p><strong>Instructor: Stefanie Tellex

Open-source platform simulates wildlife for soft robotics designers - MIT Schwarzman College of Computing
Since the term “soft robotics” was adopted in 2008, engineers in the field have been building diverse representations of flexible machines useful in exploration, locomotion, rehabilitation, and even space. One source of inspiration: the way animals move in the wild. A team of MIT researchers has tak

Stanford HAI Conference Explores Robotics in a Human-Centered World: Hype, Hope, and Future Directions | Stanford HAI
Scholars zeroed in on the need for data, generalization, and better human experience.

Training a Robot to Shape Letters from Play-Doh | Stanford HAI
Stanford’s RoboCraft learns to mold deformable objects from visual cues, a capability that could lead to more useful home assistants.
Robots that use these skills

Mesmer
Engineered Arts
Mesmer is a hyper-realistic humanoid robot from Engineered Arts focused on lifelike facial expression and human-robot interaction.

Albert Hubo
HUBO
Albert HUBO is a KAIST HUBO-platform humanoid with an expressive Einstein-like animatronic head for HRI demos and research.

Ami Desktop
Engineered Arts
Ami Desktop is a stationary, desktop-sized expressive robot head from Engineered Arts for HRI and conversational AI research and education.
Refer a learner and get early access to our paid pathways and 1:1 mentorship pilot.
Join referral list