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Adam SP

Adam SP

Adam SP

Last updated: October 8, 2026
Locomotion Type
Biped
Stage
Mass Production
Height
167 cm
Degrees of Freedom
41 DOF
Hand DOF
6 DOF
Weight
62 kg
Max Speed
5.4 km/h
Release Year
2026
Computing
Two computers. Motion control runs on an Intel NUC12WSKi7 with a 12th generation Intel Core i7-1260P, 12 cores and 16 threads up to 4.7 GHz, 16 GB DDR4-3200 and 128 GB storage, running the company's own whole-body control and model predictive control algorithms for dynamic balance. Perception and decision making run on an NVIDIA Jetson Orin NX 16GB with 100 TOPS, a 1024-core Ampere GPU with 32 Tensor Cores, an 8-core Arm Cortex-A78AE CPU, 16 GB LPDDR5 at 102.4 GB/s and a 128 GB M.2 SSD. Connectivity is Wi-Fi 6 and Bluetooth 5.0, the battery is 1172 watt hours at 46.2 volts and 25 amps maximum output, and all joints use the company's own PND series actuators, with dexterous hands adding six joints per hand covering thumb abduction and flexion plus index, middle, ring and pinky flexion.
Sensors
An Intel RealSense D455 depth camera, with an NVIDIA Jetson Orin NX 16GB module rated at 100 TOPS for AI, vision and decision making.

Adam SP is the variant of PNDbotics' Adam humanoid that can actually sense and handle things. It keeps the family's 1.67 m frame and 1.5 metre per second walk, its 6 degree-of-freedom legs, 3 degree-of-freedom waist and roughly 340 newton metre knee and hip torque, but it adds the two things Adam Lite goes without: perception and hands. An Intel RealSense D455 depth camera feeds an NVIDIA Jetson Orin NX module rated at 100 TOPS for vision and decision making, and each arm carries 13 degrees of freedom including a two-joint wrist and a dexterous hand with six joints covering thumb abduction and flexion and four finger flexions. That takes the robot to 41 degrees of freedom at 62 kg, against 25 and 60 kg for the Lite. The head, absent on the Lite and the Standard, is fitted here. Motion control still runs on the company's own whole-body control and model predictive control algorithms on an Intel NUC12WSKi7. Like the rest of the series it is produced at a stated annual capacity of several hundred units at the Tianjin centre, exported to Europe, North America, Japan and South Korea, and adopted by Skild AI as a standard training platform, and like the rest of the series it is sold with the company's own actuators, controllers and battery management systems available separately.

Application Scenarios

Industrial and research deployments that need manipulation rather than motion alone, including machine tending, assembly and materials handling on a bipedal platform; embodied AI and reinforcement learning research where a real dexterous hand and depth perception are required; and integration projects that use the SDK and the company's own actuators while adding application-specific tooling.

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