KORTHOS / ECOSYSTEM / PRODUCT

GP8

About

About GP8

GP8 is a compact six-axis industrial robot from Yaskawa Motoman for assembly, handling, packaging and machine-tending cells. It has an 8-kilogram payload, a 727-millimetre horizontal reach, a 1,312-millimetre vertical reach and stated position repeatability of 0.01 millimetres.

The arm has an IP67-rated body and is designed for dense layouts where several robots or process stations share limited floor space. One cable carries utilities between the robot and controller, reducing the routing required through the workcell. GP8 installations can use the YRC1000 or compact YRC1000micro controller, giving integrators a small handling platform for parts transfer, kitting, light assembly, test loading and other repeatable production tasks.

Capabilities

Source-backed capabilities

  • Operating environments: Laboratory peg-in-hole fixture
  • Control modes: Learned Force Feedback Control After Teleoperated Demonstrations
  • Precision insertion

    Research demonstration - Inserted a peg into a close-clearance hole with MotoFit force feedback and a learned control policy. - environment: Laboratory peg-in-hole fixture

    Source

Research

  • Дизайн роботизованого навчального робочого місця в офлайн-середовищі з Yaskawa robot

    2024-01-01 - Research Publication - The article deals with the creation of 3D models of individual parts of a robotic workplace in the Creo Parametric environment. The created models of the workplace components were subsequently imported into the MotoSim offline envi-ronment, where three variants of the assembly process were designed and simulated at the robotic workplace with the Yaskawa GP8 robot. The selected variant was then imported into a real workplace, where it was debugged and tested. The goal was to create an educational workplace where it would be possible to carry out teaching and training online or offline on a robot from Yaskawa.

    Source
  • On the Improvement of ROS-Based Control for Teleoperated Yaskawa Robots

    2021-08-04 - Research Publication - The Applied Sciences paper proposes an improved ROS-based teleoperation control mode for Yaskawa robots and evaluates trajectory tracking/latency on a Yaskawa GP8 robot with a YRC1000 controller.

    Source
  • Imitation Learning for High Precision Peg-in-Hole Tasks

    2020-12-26 - Research Publication - Industrial robot manipulators are not able to match the precision and speed with which humans are able to execute contact rich tasks even to this day. Therefore, as a means overcome this gap, we demonstrate generative methods for imitating a peg-in-hole insertion task in a 6-DOF robot manipulator. In particular, generative adversarial imitation learning (GAIL) is used to successfully achieve this task with a 10 um, and a 6 um peg-hole clearance on the Yaskawa GP8 industrial robot. Experimental results show that the policy successfully learns within 20 episodes from a handful of human expert demonstrations on the robot (i.e., 20 seconds (which also includes failed insertions) to < 15 seconds, thereby validating the effectiveness of this approach.

    Source
  • Haaratsite valikumetoodika ja kiirvahetussüsteemi arendus roboti õppestendile Yaskawa GP8. Gripper selection methodology and quick change system development for robotcell Yaskawa…

    2018-06-04 - Research Publication - The thesis is an exact GP8 educational-cell study focused on end-effector selection and quick-change tooling.

    Source

Resources

Curated durable documents and official technical references.

Context

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