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优化景观
目标函数在参数空间上的曲面形状。理解优化景观——其局部最小值、鞍点和曲率——对机器人学习很重要。深度神经网络具有复杂的高维优化景观；初始化、架构和优化器选择影响所探索的景观区域。
Open 7-DoF arm, bimanual-ready, with pilot data-collection packages.
90+ platforms — humanoids, arms, quadrupeds, dexterous hands, and teleoperation kits. Lead time shown on each product.
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.
Specifications and integration guide for the tactile and pose-tracking data glove.
Unbox, calibrate, and run your first autonomous walk. Includes ROS 2 bringup and teleop quickstart.
目标函数在参数空间上的曲面形状。理解优化景观——其局部最小值、鞍点和曲率——对机器人学习很重要。深度神经网络具有复杂的高维优化景观；初始化、架构和优化器选择影响所探索的景观区域。