A New Cloud Robots Training Method Using Cooperative Learning
TLDR
This work proposes a teaching method based on Imitation and a learning method that incorporates Incremental Learning and Meta Learning that makes robots capable of learning and cooperating with other robots.Abstract:
At present, cloud robots tend to be intelligent and cooperative. Based on this, we proposed a teaching method based on Imitation and a learning method that incorporates Incremental Learning and Meta Learning. We use Imitation Learning to teach robots, and more concretely, we propose a natural teaching method based on visual sense by using a depth camera, the robot can learn from the trajectory caught by the camera. Meta Learning helps robots understand the task and split it into some subtasks which enhances the level of generalization. Besides, once the circumstances change the robot can update the cloud database using Incremental Learning. Using proposed method, we make robots capable of learning and cooperating with other robots. It is no longer necessary for robots to learn based on a great number of data which is a shortcoming of traditional robots. The greatest advantage of this method is that we improve the learning efficiency of robots and enhance the level of generalization of the model. Our method was experimentally verified in a laboratory and the results indicated that the method improved the learning efficiency of robots.read more
Citations
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Journal ArticleDOI
Dynamic movement primitives based cloud robotic skill learning for point and non-point obstacle avoidance
Zhenyu Lu,Ning Wang +1 more
TL;DR: Results show that the learned skills allow robots to execute tasks such as autonomous assembling in a new environment.
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References
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Robot Programming by Demonstration
TL;DR: Programming by demonstration (PbD) as discussed by the authors is a technique for teaching new skills to a robot by imitation, tutelage, or apprenticeship learning through human guidance.
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C. L. Philip Chen,Zhulin Liu +1 more
TL;DR: Compared with existing deep neural networks, experimental results on the Modified National Institute of Standards and Technology database and NYU NORB object recognition dataset benchmark data demonstrate the effectiveness of the proposed Broad Learning System.
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TL;DR: A pilot development of a robot ‘task programming method’ where PbD is applied on a robotic arm with two degrees offreedom for programming a constrained motion task.
Journal ArticleDOI
Robot Skill Learning: From Reinforcement Learning to Evolution Strategies
Freek Stulp,Olivier Sigaud +1 more
TL;DR: It is striking that PI2 and (μW, λ)-ES share a common core, and that the simpler algorithm converges faster and leads to similar or lower final costs, which is due to a third trend in robot skill learning: the predominant use of dynamic movement primitives.