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GAN
生成对抗网络——一个框架，其中生成器网络通过与试图区分生成样本和真实样本的判别器网络竞争来学习生成逼真的样本。在机器人领域，GAN 用于域适应（将仿真图像转换为看起来真实）、数据增强和对抗模仿学习（GAIL）。
Open 7-DoF arm, bimanual-ready. Ships from San Francisco with pilot data-collection packages from $2,500.
90+ platforms — humanoids, arms, quadrupeds, dexterous hands, and teleoperation kits. In-stock hardware ships in 48 hours.
Hardware-synced demonstrations for VLA and imitation learning. Download in LeRobot, HDF5, or RLDS format.
From first arm on the bench to a policy that survives a real workcell — the Robotics Center pipeline in three steps.
Low-latency data-collection glove for dexterous manipulation. From $5,500, ships from San Francisco.
Unbox, calibrate, and run your first autonomous walk. Includes ROS 2 bringup and teleop quickstart.
生成对抗网络——一个框架，其中生成器网络通过与试图区分生成样本和真实样本的判别器网络竞争来学习生成逼真的样本。在机器人领域，GAN 用于域适应（将仿真图像转换为看起来真实）、数据增强和对抗模仿学习（GAIL）。