On June 14th, Tencent‘s self-developed multimodal quadruped robotic “Robot Dog Max” was upgraded once more.
According to Tencent officers, this improve applies “pre-training and reinforcement learning technology to the field of robot control”, that’s, conducting illustration studying on frequent animal datasets, storing discovered potential expressions in deep neural networks, making its actions and behaviors extra just like actual animals.
According to the introduction, Tencent‘s robotic canine Max has discovered actual canine actions equivalent to strolling, working, leaping and standing. It will flexibly use these postures to resolve varied duties with obstacles, equivalent to crawling ahead, hurdling, parkouring between obstacles and so forth.
Tencent specifically invited a canine to help the robotic canine in gathering movement information. Using Tencent‘s motion capture technology, a certain amount of real dogs’ common motion posture information on flat floor was collected. Then, utilizing redirection know-how, the information was precisely and effectively mapped onto the robotic physique by simulation engine.
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Subsequently, the robotic canine makes use of this information to assemble imitation studying duties in its simulator and perceives its personal joint standing within the simulated world. It practices and adapts varied actions on flat floor in keeping with random directions, and incorporates advanced environmental components to deal with varied obstacles brought on by exterior environments.
Tencent said that the whole course of is performed by digital coaching with out requiring precise machine coaching or adjustment. The robotic canine Max will proceed to evolve and adapt sooner or later, with hopes of being deployed for emergency duties equivalent to search and rescue.
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