Robot Gripper Guide 2026: Parallel, Suction, Dexterous — Which to Choose
The gripper is the robot's point of contact with the world — and the choice of end-effector has a larger impact on task success than almost any other design decision. This guide covers every major gripper type, when to use each, and how to integrate them with common research arms.
Parallel Jaw Grippers
Parallel jaw grippers are the workhorse of robot manipulation. Two opposing fingers move symmetrically along a linear axis to grasp objects between them. They are mechanically simple, reliable, easy to control, and inexpensive to repair. For tasks involving rigid objects with well-defined grasp points — blocks, bottles, tools, boxes — a good parallel jaw gripper is almost always the right answer.
Popular options in 2026 include the Robotiq 2F-85 and 2F-140, the OnRobot RG2 and RG6, and the Schunk EGP series. For lower-cost research, the Dynamixel-based grippers from Trossen Robotics and the open-source Robotis grippers offer solid performance at a fraction of the cost. When selecting a parallel jaw gripper, key specifications are stroke (maximum opening width), gripping force, and repeatability. Payload capacity should exceed your heaviest object by at least 50% to account for dynamic loads during transport.
Suction Cup Grippers
Suction grippers use vacuum to adhere to flat or lightly curved surfaces. They excel at high-speed pick-and-place of flat objects — cardboard boxes, circuit boards, glass panels, packaged goods — and are the dominant end-effector in e-commerce fulfillment automation. Suction is fast (no need to precisely align fingers), gentle on fragile surfaces, and capable of handling objects too large for parallel jaw grippers.
The key limitation of suction is surface dependency: rough, porous, or wet surfaces break the seal. Suction grippers also provide almost no information about object weight or orientation after grasping, making them unsuitable for tasks that require knowing how an object is held. For research involving diverse household objects, suction handles some objects beautifully and completely fails on others — plan your task domain accordingly.
Three-Finger and Multi-Finger Grippers
Three-finger grippers — such as the Robotiq 3-Finger Adaptive Gripper or the Barrett Hand — add a third finger for power grasps on cylindrical objects and more flexible object accommodation. They offer a useful middle ground between two-jaw simplicity and full dexterous hands. The under-actuation in most three-finger designs means a single motor drives multiple joints through compliant linkages, providing automatic shape accommodation without requiring precise grasp planning.
Three-finger grippers are a strong choice for bin-picking applications where object geometry varies widely, and for manipulation tasks involving cylindrical objects like cups, cans, and bottles. They are more complex to control and maintain than parallel jaw grippers, and more expensive, but the workspace coverage and grasp reliability they offer often justifies the cost.
Dexterous Hands: The Allegro and Beyond
Dexterous robotic hands — four or five fingers with multiple joints each — enable in-hand manipulation, pinch grasps on small objects, and dexterous tasks such as tool use, assembly, and handwriting. The Allegro Hand from Wonik Robotics is the most widely used research dexterous hand, with 16 DOF across four fingers and extensive ROS support. The LEAP Hand is a newer open-source alternative designed for lower cost and easier repair.
Dexterous hands are necessary for tasks that require fine manipulation beyond what parallel jaws can achieve: peg-in-hole insertion, small component assembly, in-hand re-orientation. They also generate richer tactile information and enable a wider range of natural language commands. The tradeoff is significantly higher complexity: dexterous hands require more careful control, more extensive training data, and more sophisticated policies to use effectively. For imitation learning on dexterous tasks, SVRC recommends starting with a clearly defined sub-skill rather than attempting full-hand generalization immediately.
Payload, Precision, and Integration Considerations
When integrating any gripper with a research arm, verify that the combined weight of the gripper does not exceed the arm's rated payload at maximum reach. A common mistake is using the arm's rated payload (measured at the flange at zero reach) without accounting for the moment arm introduced by a heavy gripper. Always calculate the effective payload at the reach distance you will actually use.
Precision requirements vary by task. For pick-and-place with generous tolerances (±5 mm), almost any gripper on any arm will perform. For peg-in-hole insertion (±0.5 mm), you need a combination of high-repeatability arm, low-backlash gripper, and either force-torque sensing or compliant gripper mechanics to accommodate residual positioning error. SVRC's hardware catalog lists gripper options with payload and repeatability specs, and our solutions engineers can recommend the right end-effector for your specific task — contact us to discuss your requirements.