Series Elastic vs Quasi-Direct-Drive Actuators: SEA and QDD Compared
Compare series elastic and quasi-direct-drive actuators by force sensing, backdrivability, bandwidth, impacts, thermal duty and validation.
English articles about robot data and hardware at Physical AI Lab.
Compare series elastic and quasi-direct-drive actuators by force sensing, backdrivability, bandwidth, impacts, thermal duty and validation.
Understand field-oriented control for robot motors, including phase current, rotor angle, d-q axes, PI control, PWM, limits and torque validation.
Understand robot joint backdrivability by reduction ratio, reflected inertia, friction, motor electrical state, active control and output tests.
Compare robot actuator torque density by peak and continuous output, mass, volume, transmission, cooling, speed and measured duty cycle.
Compare robot gripper types including parallel, vacuum, soft and dexterous designs by object range, sensing, failure modes and cycle tests.
Learn robot calibration types including joint zero, kinematic, TCP, camera intrinsic and hand-eye calibration with independent accuracy checks.
Compare impedance vs admittance control by force-motion mapping, hardware interface, sensing, environment stiffness, delay, limits and tuning.
Understand robot tactile sensors for contact, pressure, shear and slip, including calibration, data pipelines, wear and closed-loop grasp control.
Compare robot position, velocity and torque control, nested joint loops, hardware interfaces, bandwidth, saturation and safe mode transitions.
Understand robot joint brakes, STO, SS1, safe brake control, holding torque, feedback, power-loss tests and verified restart sequences.