RG2

About

About RG2

RG2 provides an adjustable 110-millimetre stroke within a compact electric parallel-gripper body. It detects grip, lost grip and object width automatically and calculates tool centre point and payload information through integrated software, reducing the amount of application-specific robot code required.

Custom fingertips adapt the jaws to fragile, flat or irregular components, while depth compensation keeps the fingers parallel to a work surface. RG2 connects with a broad range of collaborative and industrial arms and can be mounted with a second OnRobot tool through the Dual Quick Changer for multi-step machine-tending or handling cycles.

Capabilities

Source-backed capabilities

  • Capability areas: Robotic grasping
  • Workflows: End-effector manipulation, Material handling
  • Robotic grasping

    Claimed - OnRobot lists RG2 for collaborative pick-and-place, assembly and machine-tending automation.

    Source
  • Pick and place

    Claimed - OnRobot lists RG2 for collaborative pick-and-place, assembly and machine-tending automation.

    Source
  • Machine tending

    Claimed - OnRobot lists RG2 for collaborative pick-and-place, assembly and machine-tending automation.

    Source
  • Robotic assembly

    Claimed - OnRobot lists RG2 for collaborative pick-and-place, assembly and machine-tending automation.

    Source

Observed use

Exact-product configurations are shown without inferring supply, purchase, customer status, standard fit, deployment or partnership.

  • FT-Produktion configuration

    Operational - Mounted - Physical - FT-Produktion uses dual OnRobot RG2 grippers to reduce machine-tending cycle time.

    Source

Research

  • Design, Fabrication, and Characterization of a Novel Optical Six-Axis Distributed Force and Displacement Tactile Sensor for Dexterous Robotic Manipulation

    2023-12-13 - Research Publication - Sensors paper develops a LiVec tactile sensing finger for dexterous manipulation and integrates it with an OnRobot RG2 gripper form factor.

    Source
  • Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception

    2020-06-23 - Research Publication - ICRA/arXiv paper builds a grasp-state dataset and visual-tactile fusion model using a UR3 setup with an OnRobot RG2 gripper, wrist camera, and tactile sensor.

    Source

Resources

Media library

Current official specifications, setup guidance, exact-product imagery and manufacturer-hosted RG2 deployment videos.

Context

Comparable Systems