Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Robotics

Gripper

Also known as: Robot gripper, Grasping device

German: Greifer

In robotics and handling, a gripper is an end effector that grasps, holds and releases objects, by force closure, form closure or adhesion such as vacuum or magnetism. Common types are mechanical finger grippers, vacuum grippers and magnetic grippers.

  • Robotics

In one sentence

A gripper is an end effector that grasps, holds and releases objects mechanically, by vacuum, magnetism or other principles.

Example

The gripper uses exchangeable jaws so the same machine tending robot can hold round blanks and square flanges.

How it applies

  • Engineering: Gripper selection depends on part geometry, mass, surface, cycle time and what happens on energy loss. Gripping force, stroke and the part's acceleration determine whether the part stays in the gripper during fast motion.
  • Commissioning: Part-present and jaw-position sensing are set and tested; gripping force is adjusted to hold the part without damaging it.
  • Maintenance and documentation: The documentation team should describe grip-force adjustment, jaw changes, sensor setup and how to release a gripped part safely after a stop. Pneumatic grippers may hold Stored energy or keep clamping after shutdown, which must be stated in the operating and maintenance instructions.

Gripper vs. end effector

A gripper is one kind of End effector. Tools that process rather than hold, such as welding torches, are end effectors but not grippers.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: ISO 14539:2000, Manipulating industrial robots — Object handling with grasp-type grippers — Vocabulary and presentation of characteristics

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Blog and are not part of any standard.

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