【机器人想要学会溜冰也需要不断的训练,但可能比你滑得更好】

【机器人想要学会溜冰也需要不断的训练,但可能比你滑得更好】加州大学伯克利分校的混合机器人实验室正在增加它的双足机器人,研究人员正在教Cassie骑电动单轮溜冰鞋,这些溜冰鞋很难操作,甚至对人类来说也是如此。除了平衡之外,你还可以通过向前、向后、向左和向右来控制溜冰鞋。研究人员给Cassie添加了一个传感器,以帮助控制。教Cassie溜冰花了大约八个月的时间。该过程包括数学模型、测试算法的仿真以及如何将Cassie和各种传感器进行接口和通信。简而言之:大量的尝试和错误。

If you're not in a lab at MIT or closely following this particular branch of engineering, it might seem like a lot of robots have been showing off lately. The SpotMini, for example, has been performing feats of strength every few months.

UC Berkeley's Hybrid Robotics Lab is adding its bipedal robot, Cassie Cal, to the mix. The researchers are teaching Cassie to ride motorized single-wheel skates, or hovershoes, IEEE Spectrum Magazine reported Thursday.

The skates are pretty hard to operate, even for a human. In addition to balancing, you control the skates by leaning forward, backward, left and right. The researchers added a sensor to Cassie to help with control.

Shuxiao Chen, Jonathan Rogers, and Bike Zhang, UC Berkeley students who worked on the project, said it took about eight months to teach Cassie to skate. The process involved mathematical models, simulations to test the algorithms and figuring out how to interface and communicate with Cassie and various sensors. In short: lots of trial and error.

The team said the larger goal is to teach robots to achieve multi-modal locomotion, which humans are capable of. Optimizing locomotion for legged robots, according to the team, would improve travel efficiency over various terrains.

"Autonomous robots with multi-modal locomotion capabilities can have a big impact in the real-world from food delivery to security and surveillance to search and rescue missions," the team said.

原文:https://www.cnet.com/news/cassie-cal-robot-can-probably-ride-hovershoes-better-than-you/


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