Adam the Robot as a Rock Star at a Chinese Festival
Imagine a humanoid robot standing on stage, effortlessly playing a keytar and moving to the rhythm of the music. This became a reality at the VOYAGEX music festival in Changchun, the capital of Jilin Province in northeastern China. On July 12, a robot named Adam joined the band of famous Chinese musician Hu Yutong. This full-size humanoid robot, developed by PNDbotics, amazed the crowd with its fluid movements and precise playing. It was not only a technological achievement but also an artistic experiment pushing the boundaries of what robots can do.
Adam stood at the center of the stage with a white keytar slung over his shoulder. His movements were as fluid as a human's—he tapped the keys in rhythm, swayed from side to side, and pressed the notes precisely with his fingers. Occasionally, he paused briefly between riffs, but then rejoined the melody. This performance was no accident; it was the result of careful development that began in June 2023. The PNDbotics team is continuously improving Adam's systems, particularly his legs and feet, to ensure reliability in various environments.
How Does Adam the Robot Work?
Adam is 1.6 meters tall and weighs 60 kilograms, making him a robust yet agile robot. He has 25 degrees of freedom (DOF), allowing him to perform coordinated full-body movements. He is powered by 25 patented quasi-direct drive (QDD) PND actuators with advanced force control. These leg actuators produce up to 360 Nm of torque, ensuring powerful and stable mobility. His hands have five degrees of freedom for dexterous manipulation, while his waist supports three degrees for improved balance and posture.
His biomimetic torso (modeled after human anatomy) and modular design enable movements that closely resemble those of a human. The system is controlled by a powerful Intel i7-based PND Robot Control Unit connected to the PND real-time network. This ensures sophisticated real-time coordination between the limbs and joints. Adam is equipped with a proprietary reinforcement learning (RL) algorithm trained using extensive simulations and data. This algorithm allows him to walk, move, and maintain balance with human-like precision.
The modular actuator design simplifies maintenance and upgrades. The robot supports the addition of vision modules and dexterous hands, but at this stage of development, it focuses on blind movement—locomotion without visual input. The PNDbotics team calibrated motion data to match Adam's structure and enhanced public datasets with highly accurate motion capture. This allows rapid adaptation to new scenarios, such as uneven terrain or crowded spaces. Adam also has a 16-port gigabit Ethernet switch for high-speed communication between actuators and sensors, as well as wireless connectivity for remote monitoring.

Purpose and Applications of Adam the Robot
Adam was designed to work alongside people in various industries, including research, manufacturing, healthcare, logistics, and more. His primary goal is to perform complex and dynamic tasks with high efficiency and safety. Thanks to advanced sensors and computer vision, he can navigate sidewalks and public spaces, carry loads of up to 40 pounds, and keep pace alongside a person.
For researchers and developers, Adam offers an open SDK (software development kit) and compatibility with platforms such as Nvidia Isaac Gym for simulations and artificial intelligence training. This enables customization for new tasks and environments. Some variants of Adam feature expressive robotic heads for social interactions, with precise servomotors controlling eye, jaw, and neck movements.
Thanks to his biomimetic design, AI-driven adaptation, and modular architecture, Adam is ideal for both industrial automation and research. His energy-efficient and robust construction supports long-term deployment, and the team is focused on expanding his dexterity, perception, and social capabilities. This robot is not just a musical sensation—it is a step toward a future in which robots assist with everyday life.




