Researchers developed a deep learning neural network to aid the design of soft-bodied robots. The algorithm optimizes the arrangement of sensors on the robot, enabling it to complete tasks as ...

All of these challenges fall under a concept known as "human–robot interaction," a critical issue in robotic design and engineering. A new perspective from researchers at the Harvard John A ...

If your algorithm takes minutes to find a plan, as opposed to seconds, that costs the business money," says MIT graduate student William Shen SM '23, lead author of the paper on this technique.

The robot’s locomotion is a result of pumping air into the body’s air muscles. The entire design process — from a shapeless mold with no visible movement to a moving robot — took 26 seconds.

To see if the simulations worked in practice, the researchers built examples of their best-performing robot by 3-D printing a mold of the design and filling it with silicone.

To test the new AI, the researchers gave the system a simple prompt: Design a robot that can walk across a flat surface. While it took nature billions of years to evolve the first walking species, the ...

The AI algorithm was then able to generate its own blueprint for a walking robot. The blueprint takes the form of a 3D-printed mould which is then filled with liquid silicone.

For example, a pair of robot legs called Cassie taught itself to walk using reinforcement learning, but only after it had done so in a simulation. “The problem is your simulator will never be as ...

The algorithm, called catGRANULE 2.0 ROBOT, helps identify molecular targets for further researches and therapies; ... Example of protein aggregates within a cell. view more .

Physical Intelligence, a well-funded startup chasing breakthroughs in robotic intelligence, has developed a robot capable of doing various household chores remarkably well.