Robot Grippers: Types, Selection Guide and Vendors

A robot gripper is the end effector that holds, releases or repositions an object at the end of a robot arm. Robot gripper selection starts with the object, contact geometry and load case, then the actuator and interface. The tables below separate gripper types from model-specific specifications so a payload rating is never mistaken for a measured grasp success rate.

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Part of tactile sensing: compare sensing principles before selecting a model or end effector.

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November 4, 2026: reviewed the full guide and four manufacturer model sources; added contact-evidence distinctions and a receiving-test record linked to six source-reviewed studies. No hardware tests are claimed.

Layered tactile sensor surface sending signals through processing boards and robot-ready data views.
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Robot gripper models and selection fields

Four sourced models, checked 2026-10-30. Prices and protocols are marked Not published when the cited page does not establish them. Payload limits use different grasp conditions and are not a common performance ranking.

All four gripper models
ModelTypePayloadGrip forceInterfaceContact points / sensingPriceSource
Robotiq 2F-85Adaptive fingers5 kg form-fit; verify the application load case20–235 NModbus RTU (RS-485)Two articulated fingers; optional tactile fingertips require compatible revisionNot publishedRobotiq 2F-85 specifications
OnRobot RG2-FTAdaptive fingers2 kg force-fit; 4 kg form-fit3–40 NIntegrated robot software; protocol not published on the reviewed pageTwo fingers; each has 6-axis force/torque and proximity sensingNot publishedOnRobot RG2-FT specifications
OnRobot VG10Vacuum10 kg rated; 15 kg maximum under manufacturer conditionsNot published as grip force; 80% maximum vacuumIntegrated robot software; protocol not published on the reviewed pageConfigurable suction cups on four arms; two independent vacuum channelsNot publishedOnRobot VG10 specifications
OnRobot Soft GripperSoft fingersUp to 2.2 kg; depends on shape, softness and frictionNot publishedElectric actuation; protocol not published on the reviewed pageInterchangeable silicone tools in star or finger configurationsNot publishedOnRobot Soft Gripper specifications

Filter by gripper type

Open a type to view only matching rows. The complete comparison remains available above.

Adaptive fingers (2 models)
Adaptive fingers models
ModelTypePayloadGrip forceInterfaceContact points / sensingPriceSource
Robotiq 2F-85Adaptive fingers5 kg form-fit; verify the application load case20–235 NModbus RTU (RS-485)Two articulated fingers; optional tactile fingertips require compatible revisionNot publishedRobotiq 2F-85 specifications
OnRobot RG2-FTAdaptive fingers2 kg force-fit; 4 kg form-fit3–40 NIntegrated robot software; protocol not published on the reviewed pageTwo fingers; each has 6-axis force/torque and proximity sensingNot publishedOnRobot RG2-FT specifications
Vacuum (1 models)
Vacuum models
ModelTypePayloadGrip forceInterfaceContact points / sensingPriceSource
OnRobot VG10Vacuum10 kg rated; 15 kg maximum under manufacturer conditionsNot published as grip force; 80% maximum vacuumIntegrated robot software; protocol not published on the reviewed pageConfigurable suction cups on four arms; two independent vacuum channelsNot publishedOnRobot VG10 specifications
Soft fingers (1 models)
Soft fingers models
ModelTypePayloadGrip forceInterfaceContact points / sensingPriceSource
OnRobot Soft GripperSoft fingersUp to 2.2 kg; depends on shape, softness and frictionNot publishedElectric actuation; protocol not published on the reviewed pageInterchangeable silicone tools in star or finger configurationsNot publishedOnRobot Soft Gripper specifications

Short answer

What you need to know

  1. 1

    Choose the contact method from object geometry, surface leakage, fragility and the required placement accuracy.

  2. 2

    Check the exact payload conditions, available grip force, tool mass and controller interface together. A form-fit payload is not a friction-grip guarantee.

  3. 3

    Tactile sensor data can support contact detection or slip feedback, but the controller must actually consume it at the required latency.

Topic 01

Robot gripper types and contact tradeoffs

The type comparison is an engineering selection framework. Numerical limits belong to individual products in the model table, not to the whole category.

TypeContact methodUseful object conditionsMain constraintTactile integration
Parallel or adaptive fingersTwo opposing contact regions; adaptive links can wrapRigid parts and repeatable insertion geometryReach, friction, finger stiffness and jaw travelFingertip sensors or instrumented fingers
VacuumPressure difference across a sealed cupFlat or sealable surfaces with accessible pickup areaLeakage, porosity, cup placement and loss of vacuumVacuum monitoring is not a spatial tactile map
Soft fingersCompliant fingers conform around the objectFragile or variable shapesDeformation changes pose and force transmissionEmbedded or surface sensors require calibration under bending
MagneticMagnetic attraction at the contact surfaceCompatible ferromagnetic partsMaterial compatibility, residual magnetism and releaseSeparate contact or force feedback may be needed
Dexterous handMultiple articulated finger contactsReorientation and in-hand manipulationControl, calibration and contact planning complexityDistributed fingertips or skin; coverage is model-specific

Topic 02

Selection sequence

Record object mass, dimensions, surface condition, centre of mass and the planned accelerations. Include gripper mass in the robot wrist load and moment budget. Check the manufacturer load case instead of translating a force rating directly into a payload.

Select jaw stroke or suction coverage, then confirm electrical supply, controller integration and mounting. Record force and slip observations with timestamps during a representative grasp test. Check release behaviour and dropped-part handling as well as successful pickup.

DecisionRecord before orderingReject the candidate when
PayloadMass, centre of mass, acceleration, orientation and tool massThe documented load case does not cover the application
Grip forceAdjustable range, contact area and permitted object deformationMinimum force already damages the object or maximum force cannot retain it
InterfaceProtocol, controller support, update rate and power budgetRequired feedback cannot reach the controller in time
Contact pointsFinger or cup geometry and accessible contact areaThe object cannot be constrained without collision or leakage
PriceDated quote including tooling, controller, sensors and replacement padsThe integration cost exceeds the project budget

Topic 03

Separate contact mechanics, sensing and demonstrated control

A compliant surface can improve contact without measuring it. A sensor can measure a useful signal without feeding the controller. A model can predict motion accurately without having executed a grasp. Identify which claim a supplier or research prototype actually supports before comparing success percentages or choosing an integration path.

Evidence layerIllustrative research caseWhat remains a separate decision
Passive adaptationGranular jamming changes enclosure and retention mechanically.Whether the actual reaching distribution lands inside a useful capture region, and whether transfer and release succeed.
Contact measurementA Hall-based tackiness sensor distinguishes compression from pull-off; TacGooseBumps encodes shear-dependent patterns.Calibration, replacement effects and whether the required output is a pattern, stress, force or separation event.
Active perceptionFibTac observes contact while a pneumatic sequence moves its fibers.Whether classification or regression has been connected to a tested feedback controller; timed actuation alone does not establish this.
Motion predictionJFM models a tendon-driven finger; a membrane array uses a compact deformation action space.Prediction or positioning criteria are different from measured contact, damage-free handling and completed manipulation.

Define one receiving test from pickup through release

For example, a proposed test of a fragile part should identify the object, pad revision, surface condition, orientation, motion and permitted deformation before any trials. Record first-attempt pickup, retention through acceleration, final placement, complete release, visible damage and interventions separately. Repeated use of one object should retain its identity so accumulated damage is not mistaken for independent fresh-object trials.

Attach acquisition timestamps, controller input and executed command to the same trial when evaluating feedback. Define the physical reference used for force or slip claims, the pass criterion and the failed-attempt denominator. After changing a pad, membrane, suction cup or sensor, repeat the relevant calibration and load case. This is suggested engineering acceptance documentation, not a claim that the research cases below or RoboSkin completed that combined test.

Common questions

FAQ for this topic

01

Does a soft gripper automatically measure touch?

No. Mechanical compliance and tactile measurement are different properties. Check whether sensors are installed, which signals are exposed and how the controller uses them.

02

Why are prices marked Not published?

The reviewed manufacturer pages request a quote or do not disclose a usable model price. A reseller listing or an older quote is not silently substituted.