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.

Before you start
- Basic Python familiarity
- Comfort with algebra or calculus basics
- Interest in robotics systems
About this guide
Stanford’s RoboCraft learns to mold deformable objects from visual cues, a capability that could lead to more useful home assistants.
Common questions
What will I learn in 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.
Is Training a Robot to Shape Letters from Play-Doh | Stanford HAI free?
HumanoidHub has not verified public pricing for this guide. Open Stanford Online 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 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

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

Unit 8. Robotics | Brains, Minds and Machines Summer Course | Brain and Cognitive Sciences
This page summarizes the unit topic and activities, and links to lecture videos, notes and further study resources.
[PDF] Humanoid Robots as Cooperative Partners for People
guide the search by providing timely feedback, luring the learner to perform desired behaviors, controlling the environment so the appropriate cues are easy to attend to, etc. Our architecture supports the construction of collaborative learners that are easy and rewarding to teach using techniques t
Robots that use these skills

Apollo
Apptronik
Apollo is a bipedal humanoid robot from Apptronik aimed at automating tasks in industrial and commercial environments.
1X EVE
1X Technologies
1X EVE is a wheeled humanoid robot from 1X Technologies aimed at mobile service work in institutional and industrial settings.

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 listNew robots, funding, and signals. Every Thursday.
Unsubscribe anytime.