Machine Learning in Robotics - 5 Modern Applications
Machine Learning in Robotics - 5 Modern Applications
Sep 13, 2016
emerj.com
For robots to successfully locomote in different environments, it is better to equip them with multiple modes of locomotion. Multimodal locomotion for existing robotic systems is generally realized by integrating multiple mechanisms into a single robot. These robots are generally cumbersome or challenging to control and actuate. Recently, shape-morphing structures are utilized to enable reconfigurable and multifunctional robots. In this article, the authors present a novel origami-inspired modul
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For robots to successfully locomote in different environments, it is bett…
19.8K viewsMar 3, 2023
FacebookWevolver.com
481K views · 412 reactions | Robots are getting smarter with the upgrade of multimodal large models, which serve as their "brains." On Thursday, China’s AI company SenseTime unveiled its updated multimodal large model — SenseNova V6. The new version integrates text, images, and videos, offering users a more natural and immersive interactive experience. Join CGTN to explore how this large model enables robots to see and think more deeply. | CGTN | Facebook
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481K views · 412 reactions | Robots are getting smarter with the upgra…
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FacebookCGTN
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