Agilex Nero

The AgileX Nero is a high-performance, 7-axis (7-DoF) robotic arm specifically engineered for advanced research in Embodied AI and Humanoid Robotics. Unlike traditional 6-axis arms, the Nero’s redundant 7th axis mimics human-like dexterity, allowing it to navigate complex environments and avoid obstacles with fluid, natural motion.

3.100,00  excl. VAT and shipping costs

Available on backorder

Key Features

  • Human-Like Dexterity: The 7-axis configuration enables “null-space control,” allowing the arm to change its posture (elbow position) without moving the end-effector. This is critical for working in cramped spaces or around obstacles.

  • Ultra-Lightweight Design: Weighing only 4.8 kg, the Nero is highly portable and can be easily integrated into mobile platforms or moved between lab stations.

  • Research-Ready Precision: With ±0.1 mm repeatability, it is precise enough for delicate tasks like electronic assembly or consistent data collection for AI training.

  • Open Architecture: Fully compatible with ROS 1 / ROS 2 and Python SDK, making it a “plug-and-play” solution for developers using modern AI frameworks.

  • Versatile Mounting: Supports multiple installation orientations, including tabletop, side-mount, or inverted (ceiling) configurations.

Technical Specifications

Feature Specification
Degrees of Freedom 7-DoF (Redundant)
Payload 3 kg (Rated) / 5 kg (Peak Dynamic)
Working Radius 580 mm
Repeatability ±0.1 mm
Weight 4.8 kg
Communication CAN / HTTP / TCP
Power Consumption Max ≤120W (Average ~40W)
Joint Speed J1-J3: 180°/s | J4-J7: 225°/s

 

Applications

  • Embodied AI: Ideal for training models in imitation learning and reinforcement learning.

  • Mobile Manipulation: Can be mounted on AgileX mobile bases (like the Scout or Bunker) to create autonomous mobile manipulators.

  • Humanoid R&D: Serves as a modular limb for humanoid robot prototyping.

  • Laboratory Automation: High-precision liquid handling, material testing, or pick-and-place tasks.

Pro Tip: The Nero features a Drag-and-Teach mode, allowing researchers to manually guide the arm through a motion path for quick trajectory recording without writing complex code.

Weight 4,5 kg

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