Tencent's self-developed robot dog Max has been upgraded to 'run and jump” to complete obstacle avoidance actions

IT Home News on June 14th, Tencent’s independently developed multi-modal quadruped robot “Robot Dog Max” has been upgraded again. According to Tencent officials, this upgrade is to "apply pre-training and reinforcement learning technology to the field of robot control", means performing representation learning on common animal data sets, and storing the learned potential expressions in a deep neural network. Its movements and behaviors are closer to those of real animals.

▲ Picture source: Tencent, the same below

According to reports, Tencent’s robot dog Max has learned the walking, running, jumping, standing and other movements of real dogs, and will flexibly use these postures to solve various tasks with obstacles, such as crawling, Hurdle running, parkour between obstacles, etc.

IT House learned from Tencent that Tencent specially invited a dog to assist the robot dog in completing the collection of motion data. Using the motion capture technology of Tencent games, it will collect a certain number of real dogs on the ground. Conventional motion posture data is then used to redirect the data to the robot body accurately and efficiently through the simulation engine.

Subsequently, the robot dog then uses these data to construct imitation learning tasks in its simulator, and then perceives its joint status in the simulated world. Follows random instructions, practices on the ground, and adapts to various conditions. actions and add complex environmental factors to cope with various obstacles caused by the external environment.

According to Tencent, all training processes are conducted in the virtual world, and there is no need to train or adjust the actual machine. It is expected that the robot dog Max will continue to be evolved and improved in the future to enable it to adapt to various emergency work tasks, such as search and rescue.

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