AI News, Solving a Rubik's Cube with a dexterous hand

Solving a Rubik's Cube with a dexterous hand

Their approach, presented in a paper pre-published on arXiv, allows a dexterous hand to solve more advanced in-hand manipulation tasks, such as the renowned Rubik's Cube puzzle.

'Seeing some researchers use multi-fingered robot hands for tasks like reposing an object and manipulating a tool, we considered whether we could utilize a robot hand for more complicated tasks, such as solving a Rubik's Cube,' Tingguang Li, one of the researchers who carried out the study, told TechXplore.

To tackle the Rubik's Cube puzzle using a dexterous hand, Li and his colleagues developed a hierarchical deep reinforcement learning model that essentially separates the task into a planning and a manipulation stage.

'Our approach has two layers: The higher layer plans a trajectory for solving a Rubik's Cube which is composed of atomic actions, and the lower layer learns to implement each atomic action,' Li said.

'The atomic actions are learned via deep reinforcement learning model, getting rid of manually designing complicated low-level controllers.'

They tested their model's performance in a series of experiments in which the virtual dexterous hand was fed 1400 randomly scrambled Rubik's Cubes and found that it achieved an average success rate of 90.3 percent.

The rate of sea-level rise has surged for decades — and the trend will persist

The world’s largest frog constructs ponds to protect its developing young — the first nest-building behaviour observed in any African amphibian.

The engineered structures shielded the nests’ interiors from rapidly flowing water and predatory fish, creating an oasis for eggs and tadpoles.

The researchers argue that the nests — which require their architects to move large, heavy items — could explain the evolution of these gigantic frogs.