PNDbotics Adam

Adam stands 167 cm tall (U variant with torso/arms on wheeled base also available), weighs 62 kg, with up to 44 degrees of freedom and 340 Nm joint torque. Five-digit robotic hands provide dexterous manipulation. Unlike traditional robots using rigid mathematical modeling (Boston Dynamics approach), Adam employs proprietary deep reinforcement learning to learn locomotion through real-time environmental interaction. Imitation learning and human motion data enhance gait realism. Biomimetic torso and modular actuators ensure durability and adaptability. AI-powered motion simulation significantly reduced development time and costs. Adam famously played keytar at VOYAGEX Music Festival. Open-source SDK, NVIDIA Isaac Gym support.