Shulou(Shulou.com)11/24 Report--

Thanks to the CTOnews.com netizen Mr. Air, Xiao Zhanche's clue delivery! CTOnews.com, June 14 (Xinhua)-- Max, a multimodal quadruped robot independently developed by Tencent, has been upgraded again. According to Tencent officials, the upgrade is to "apply pre-training and reinforcement learning techniques to the field of robot control", that is, to conduct representation learning on common animal data sets and store the potential expressions learned in deep neural networks. to make its movements and behaviors closer to real animals.

▲ source Tencent, according to the following introduction, Tencent robot dog Max has learned the movements of real dogs such as walking, running, jumping and standing, and will flexibly use these gestures to solve a variety of tasks with obstacles, such as creeping, hurdling, parkour shuttle between obstacles, and so on.

CTOnews.com learned from Tencent that Tencent specially hired a dog to assist the robot dog to complete the movement data collection. Through Tencent Games's motion capture technology, he collected a certain amount of real dog's routine posture data on the flat ground, and then used the redirection technology to map the data to the robot body accurately and efficiently through the simulation engine.

Then, the robot dog uses these data to build imitation learning tasks in its simulator, and then perceives its own joint state in the simulated world, according to random instructions, practices on the flat ground, adapts to various movements, and adds complex environmental factors. to deal with the obstacles caused by the external environment.

Tencent said that the whole process is trained in the virtual world, without the need for real machine training and adjustment. Robotic dog Max will continue to evolve and adapt in the future, and is expected to be used in search, rescue and other emergency work.

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