Introducing the ReFlex Hand

Bring your research to the cutting edge with the ReFlex Hand. It is built on over a decade of research in the Harvard Biorobotics Lab and the Yale Grab Lab, and it leverages the best insights our team gained from creating the top-performing design in the DARPA Autonomous Robotic Manipulation program's Hardware Track[1].

ReFlex SF ReFlex TakkTile

Features and Specifications

Mechanical Intelligence

  • Compliant fingers shape themselves to the object – simplifies perception and control
  • Robust to collisions and mistakes – develop experiments faster

General Specifications

  • Actuators: 4 (3x fingers, 1x preshape)
  • Weight: 800 grams
  • Software Interface: ROS
  • Power: 12V
  • Mounting: Adaptor plates for major robots including Baxter, the Universal Robots UR5, and the WAM


ReFlex SF


The ReFlex SF provides a simple interface to the passive mechanics behind i-HY, in a package that is designed to be easy to install and easy to interface.

The system consists of: a 3D-printed palm filled with Dynamixel servos, a palm, three compliant fingers, an interface circuit board, and a basic software driver to publish motor commands and read sensor values.

It does not provide joint encoders or tactile sensors, but provides direct USB access to the dynamixel servos using the standard ROS packages.

For inquiries, please contact

ReFlex TakkTile

This system provides highly-sensitive tactile feedback, proximal joint encoders, and an interface designed by the Open Source Robotics Foundation.


Sensitive Tactile Sensing by TakkTile

  • 0.01N sensitivity on fingers at 8mm spatial resolution
  • Wide-field tactile sensors on palm
  • 50Hz sensor sampling rate

The ReFlex TakkTile is currently in a closed beta program with ten top universities on four continents. It is available for pre-order during this time (first-come first-served), and will begin shipping late fall 2015.

For inquiries, please contact

[1] Douglas Hackett, James Pippine, Adam Watson, Charles Sullivan, Gill Pratt, "Foreword to the special issue on autonomous grasping and manipulation", Autonomous Robots Vol. 36 No. 1, 2014, pp. 5-9

RightHand Robotics is not endorsed by Harvard University, Yale University, or DARPA, and any views or opinions presented here are the views of RightHand Robotics alone.

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RightHand Robotics Inc (c) 2014