Adam Sp
Advanced humanoid robot for industrial automation
$100,000
ADAM SP — High-Biomimetic Humanoid ADAM SP by PNDbotics is a full-size, human-proportioned humanoid designed for real facilities—factory floors, logistics sites, and service pilots. With 41 DOF, five-finger hands, and PSA quasi-direct-drive actuation, it balances stability, agility, and human-safe interaction.
Released: 2024
Overview
ADAM SP targets dependable, human-scale work in tight indoor spaces. PSA quasi-direct-drive actuators with integrated transmissions deliver high peak torque and back-drivability for compliant, “human-safe” contact, while five-finger hands enable tool use, packaging, and lab tasks. A learning-centric control stack (imitation + DRL) speeds skill authoring and sim-to-real transfer, so teams can prototype behaviors—from ladder climbs to anomaly checks—and roll them out across fleets. With modularity planned for sensors, batteries, and even leg units, ADAM SP is built to evolve from early pilots to broader deployment.
Key Features
- Obstacle avoidance
- Standing up after a fall
- Running 100 m
- Walking up and down stairs
- Jumping and controlled landing
- Sorting in logistics flows
- Assembly assistance
- Loading/unloading a dishwasher
- Folding garments
- Threading a needle
- Height: 167 cm
- Weight: 62 kg
- Max Speed: 6 km/h
- Walking Speed: N/A
- Strength (Payload): 5 kg
- Runtime per Charge: ~2 hours
- Overall Degrees of Freedom: 41
- Hand Degrees of Freedom: 7 (per hand)
- Fingers: 10
- Safe with Humans: Yes
- Motor Tech: PND Smart Actuator (PSA), quasi-direct-drive
- Transmission: Integrated transmission (variable-ratio noted)
- Gear Tech: Integrated
- Main Structural Material: N/A (composite shell described)
- Primary: Industrial automation, service robotics; pilots in logistics and customer service
- H.G. Skill Score (official): N/A
- Verification: Not verified
Technical Specifications
Total: 4/10 — Navigation 2/5 + Manipulation 2/5.
• CPU/GPU / OS / Connectivity / Camera resolution / LLM Integration / Latency: Not specified
• Control Stack: Imitation learning + DRL (sim-to-real), open-source SDK; NVIDIA-compatible training environment
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