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Robotiq Hand-E Adaptive Gripper

About

About Robotiq Hand-E Adaptive Gripper

Hand-E is a sealed electric parallel gripper offered with 50- and 100-millimetre stroke configurations. Adjustable force from approximately 20 to 185 newtons per finger and position feedback allow one tool to handle several part widths and detect whether an object has been acquired.

The IP67 body targets CNC machine tending, assembly and pick-and-place cells exposed to coolant, dust and chips. Robotiq software and mounting kits simplify connection to supported collaborative and industrial arms, while replaceable fingertips adapt the grasp geometry. The current 100-millimetre version extends Hand-E beyond the original compact 50-millimetre configuration.

21 OCT 2026

Robotiq introduces 2FC tactile gripper with 1 kHz contact sensing

Capabilities

Source-backed capabilities

  • Capability areas: Robotic grasping
  • Workflows: End-effector manipulation, Material handling
  • Object manipulation

    Research demonstration - 2024-11-18 - TrojanRobot evaluates physical manipulation policies using a Robotiq Hand-E gripper mounted on a UR3e arm.

    Source

Observed use

Exact-product configurations are shown without inferring supply, purchase, customer status, standard fit, deployment or partnership.

  • INACAP configuration

    Operational - Mounted - Physical - INACAP uses Robotiq Hand-E Adaptive Gripper in the configuration documented by Robotiq.

    Source
  • Fusion OEM configuration

    Operational - Mounted - Physical - Fusion OEM integrates Robotiq Hand-E grippers into its automation systems.

    Source

Research

  • Persona-Based Process Design for Assistive Human-Robot Workplaces for Persons with Disabilities

    2026-04-29 - Research Publication - arXiv paper verifies a persona-based HRI process design method on a UR10e workstation equipped with Robotiq EPick, Robotiq Hand-E, and Robotiq wrist-camera tooling.

    Source
  • TrojanRobot paper uses Robotiq Hand-E gripper in physical robotic backdoor experiments

    2024-11-18 - Research Publication - Robotic manipulation policies are increasingly empowered by \textit{large language models} (LLMs) and \textit{vision-language models} (VLMs), leveraging their understanding and perception capabilities.

    Source

Resources

Media library

Official operating references, exact-product application imagery and a verified case-study video for the Robotiq Hand-E adaptive gripper.

Context

Comparable Systems