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AgileX Robotics PiPER 6-Axis Lightweight Robot Arm
AgileX Robotics PiPER 6-Axis Lightweight Robot Arm
AgileX·PiPER·ARM-033

AgileX Robotics PiPER 6-Axis Lightweight Robot Arm

$2,810.90
Financing available Pay later on net terms, or monthly over 12 to 60 months.See options →

The AgileX Robotics PiPER is a six-axis research arm with integrated joint motors, controlled over CAN.

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Free on every order
Duties and tariffs
In the price, nothing extra at checkout
Minimum order
1 unit
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  • Free shipping On every order.
  • No tariffs at checkout Duties are in the price. Nothing to pay on delivery.
  • US seller of record US invoices, terms and support.
  • Maker's warranty Typically 12 months. Unused items can be returned within 30 days.
Research
Class
1.5 kg
Payload
626 mm
Reach
6
Axes (degrees of freedom)
±0.1 mm
Repeatability
Estimated from motor current
Joint torque sensing

Specifications

Performance

Class
Research
Payload
1.5 kg
Reach
626 mm
Axes (degrees of freedom)
6
Repeatability
±0.1 mm

Mechanical

Weight
4.2 kg

Electrical

Supply voltage
24 V

Integration

Controller
In the arm; your PC connects over CAN
Cartesian control (built-in IK)
Yes
SDK and interfaces
Python API (piper_sdk), ROS 1, ROS 2; CAN protocol; drag teaching
Simulation
URDF, MoveIt, Gazebo and MuJoCo (piper_ros); Isaac Sim (piper_isaac_sim repository)
Joint torque sensing
Estimated from motor current
Grippers
AgileX two-finger gripper (0-70 mm stroke, 40 N rated); teaching (leader) gripper with force feedback

Safety

Collision detection
Yes

Specifications and photos are the maker's published data. Datasheets are available on request.

Made by

AgileX
2 products

Typical applications

  • Machine tending and lab automation
  • Pick and place, kitting and test stations
  • Robot learning and teleoperation data collection
  • Education and research labs
  • Mobile manipulators

Choosing the right one

  • Size payload for the gripper, camera and part together, with margin: a 5 kg arm carrying a 1 kg gripper has 4 kg left.
  • Rated payload holds at full reach. Most arms carry less when fully extended at full speed.
  • Check that the controller takes Cartesian targets and solves the inverse kinematics itself; otherwise you write that math.
  • Torque sensors in every joint make force control, collision detection and hand-guiding far better than current-based estimates.
  • Try the vendor's simulator or URDF before you buy. A clean Python API and simulator are a good sign of the support you will get later.
  • Hobby servo arms (under about $1,000) suit teaching and prototyping, not production duty cycles.

Related guides

About this product

Widely used for teleoperation and ALOHA-style data collection; reports joint current and estimated torque, with adjustable collision protection. IP22.

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