Stanford University researchers have developed a revolutionary humanoid robot called “HumanPlus” that can learn and perform a wide range of tasks by observing human behavior. This groundbreaking advance in robotics brings us one step closer to developing truly versatile and adaptable machines.
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Human-plus humanoid robot playing table tennis (Stanford University) (Kurt “Cyberguy” Knutson)
Technical Specifications
Building on Unitree’s H1 Robot BaseEquipped with an Inspire-Robots hand and a custom wrist, HumanPlus stands 5 feet 9 inches tall. It has a 6 DoF (degrees of freedom) hand, with one DoF each for the index, middle, ring and pinky fingers, plus two for the thumb. This configuration allows for complex hand movements and manipulation.
The robot also has a 1-DoF wrist that can rotate in a single plane, allowing up-down or side-to-side movements calculated using the relative rotation between the general orientation of the forearm and hand.
HumanPlus humanoid robot (Stanford University) (Kurt “Cyberguy” Knutson)
It has 33 degrees of freedom, two RGB webcams in the head, finger force capacity up to 10N, arm payload up to 16.5lbs, and leg motor torque up to 360Nm.
N stands for Newton, which is the standard unit of force. 10N means that the robotic finger can exert a maximum force of 10 newtons, which is equivalent to about 2.25 pounds of force and indicates the gripping strength of the robotic finger.
Nm stands for Newton Meter and is the standard unit of torque. 360Nm means that the motors in the robot’s legs can generate a rotational force of up to 360 Newton Meters. This is a significant amount of torque and demonstrates that powerful leg motors can perform tasks that require significant force and movement.
These specifications indicate the robot’s grip and leg strength capabilities, which are essential for a variety of tasks such as manipulation and locomotion.
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HumanPlus, a clothes-folding humanoid robot (Stanford University) (Kurt “Cyberguy” Knutson)
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Learning through observation
HumanPlus uses a single RGB camera and a full-body policy to replicate human motions in real time. The robot can learn a variety of motions, including boxing, playing piano, table tennis, throwing objects, typing, and more.
HumanPlus Humanoid Robot Boxing (Stanford University) (Kurt “Cyberguy” Knutson)
Approximately 40 hours of human motion data are needed for the system to learn a task and replicate it step by step.
Piano-playing humanoid robot HumanPlus (Stanford University) (Kurt “Cyberguy” Knutson)
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Great task performance
HumanPlus demonstrated excellence in a variety of tasks, including putting on shoes and walking, taking items off warehouse shelves, folding clothes, organizing items, typing, and greeting other robots. Across up to 40 demonstrations, the robot achieved success rates of 60% to 100% in these tasks.
“HumanPlus” – a humanoid robot that walks in shoes (Stanford University) (Kurt “Cyberguy” Knutson)
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Cost Considerations
While HumanPlus represents a major advancement in humanoid robots, it comes at a significant price — researchers estimate it would cost about $107,945 to build a working model — but given its versatility, it may still be one of the most cost-effective options currently available on the market.
HumanPlus, a clothes-folding humanoid robot (Stanford University) (Kurt “Cyberguy” Knutson)
Open Source Design
One of the most notable aspects of HumanPlus is its open source design. GitHub repositoryIt will enable others to build similar models and contribute to their development.
HumanPlus (Stanford University), a humanoid robot that unloads items from warehouse racks (Kurt “Cyberguy” Knutson)
Important points about the cart
HumanPlus can learn from human behavior and perform a wide range of tasks, potentially enabling more adaptable and versatile robots in the future. The open-source nature of the project will encourage collaboration and further development, potentially accelerating progress in the field.
As humanoid robots continue to evolve and improve, they may play an increasingly important role in a variety of industries, from manufacturing and healthcare to entertainment and education. While the current cost of the HumanPlus makes it unlikely that it will see widespread adoption anytime soon, ongoing research and development may result in a more affordable version in the future, which could revolutionize the way we interact with and utilize robotic assistants in our daily lives.
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