Solving a Rubik's Cube with a dexterous hand
In recent years, a growing number of researchers have explored the use of robotic arms or dexterous hands to solve a variety of everyday tasks. While many of them have successfully tackled simple tasks, such as grasping or basic manipulation, complex tasks that involve multiple steps and precise/strategic movements have so far proved harder to address. A team of researchers at the Chinese University of Hong Kong and Tencent AI Lab has recently developed a deep learning-based approach to solve a Rubik's Cube using a multi-fingered 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. A Rubik's Cube is a plastic cube covered in multi-colored squares that can be shifted into different positions.
Aug-19-2019, 00:16:19 GMT
- Industry:
- Leisure & Entertainment > Games > Rubik's Cube (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Representation & Reasoning > Search (1.00)
- Cognitive Science > Problem Solving (1.00)
- Machine Learning > Neural Networks
- Deep Learning (0.56)
- Information Technology > Artificial Intelligence