Our intelligent gripping system is a ready-to-use solution for flexible and sensitive grasping applications. It integrates an industrial gripper, a stereo vision system, as well as our sensors for tactile data and optionally force/torque.
Details Recognizes and grasps a large variety of different objects in unstructured environments.
Details Allows an easy setup due to a tight integration of the camera, software and gripper.
Details Monitors the gripping process to ensure an accurate, rapid and secure grip.
Our intelligent gripping solution integrates two grayscale/color cameras, an industrial 2-jaw gripper, as well as universal fingers in a compact package with a standard mount.
The fingers are equipped with a layer of rubber foam to support camera-based tactile sensing.
The core of our sensing technology is an image processing software, which derives physical sensor signals from the observation of the rubber foam's deformation during contact. Hence, the sensor functionality is shifted from complex and dedicated hardware modules into our intelligent sensor software. This sensor software provides rich feedback about the grasping process, including tactile/pressure profile, grasping force, gripper opening, object position/count, object shape, object deformation and detailed grasping statistics. Using this data, our multi-goal grasp controller enables intelligent and flexible grasping of varying objects.
Our patented sensor principle allows you to simply replace or adapt the gripper's fingers. This is due to the fact that no wiring is needed in the fingers, since the rubber foam is completely passive and without any integrated electronics.
At the same time, the cameras can be used for various other tasks like for example object recognition and localization. Please get in contact with us to discuss your computer vision requirements.
Stereo vision system for object recogntion and depth information
Intelligent bin picking software with AI-based grasp planning for sensitive and soft objects. Demo with Keba, using ROS and ViseGrip.
ViseGrip in a pick-and-place application developed together with Gimatic: Various objects made of glass and plastic are picked from the white holder, detected an dsorted based on camera-based tactile sensing
Camera-based pick-and-place of small textured packages with the ViseGrip gripper, as required in e-commerce order fulfillment applications.
| Robotic gripper | |
|---|---|
| Gripper module | Gimatic 2-jaw electric parallel gripper |
| Opening | 2x 15 mm, controllable |
| Grasping force | Max. 63 N, controllable |
| Fingers | Length: 60 mm, soft surface, straight shape |
| Adaptation | Length/shape of fingers, custom fingers |
| Grasping modes | Internal/external grasping |
| Visual markers | 1 per finger |
| Sensitive element | EPDM (rubber foam), see tactile sensor |
| Flange | 4x M6, Ø 50mm (ISO 9409-1), e.g. for UR3/5 |
| Connections | Power 24V 1A; USB3 (cameras, gripper control) |
| Cameras | |
| Resolution | 2x 1280x960, 45fps (up to 80fps) |
| Sensor | 1/3”, global shutter, color/mono |
| Interface | USB3, UVC standard |
| Distance from fingers | ca. 150 mm |
| Position | 2 cameras integrated in stereo camera attachment |
| Field of vision | Fingers, grasped object, environment beyond fingers |
| Visevi software for sensing and control | |
| Sensing (camera-based) |
Tactile profile (pressure profile) Grasping force Object detection / position / count Object deformation Gripper opening Grasp statistics |
| Grasp control | Multi-goal: Position, current, force, object deformation |
| Integration | ROS (Industrial) |
| System requirements | Ubuntu Linux, Intel i5 2Ghz, 8GB RAM |
| Plug & Play | Ready-to-use USB stick |
| Scripting | Simplified Python scripting. Integrated API for grasping, motion commands, sensing, object detection, camera access. |
* The technical data describes the current prototype and is only preliminary.
