00:00Among all athletic scenarios, tennis is one of the most challenging tasks for humanoid robots in fast-paced rallies.
00:09Robots must respond to unpredictable landing points and constantly changing ball trajectories.
00:15Galbit introduces the world's first real-time whole-body planning and control algorithm.
00:20For athletic humanoid tennis, it enables humanoid robots to perceive dynamic inputs
00:25and make fully autonomous decisions within milliseconds.
00:30Making a fundamental transition from mechanically imitating motions to intelligent, precision-driven responses,
00:37our algorithm enables humanoid robots to sustain continuous rallies without interruption,
00:43marking a leap from reacting to individual shots to handling long-horizon interactive gameplay.
01:07The learned policy also demonstrates strong robustness,
01:11performing reliably against opponents of different ages and playing styles,
01:16while maintaining high stability in real-world gameplay.
01:21The Uma valor hatten be their best to learn all about how cybernive models are going.
01:25The Uma valor
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