Model T42 robotic gripper

Two fingers.
A careful grip.

Our team implemented the Yale OpenHand T42: an underactuated gripper built around tendon-driven fingers.

01 · The mechanism

A grasp begins
with geometry.

The existing OpenHand platform gave us a mechanical foundation to assemble, analyze and understand.

02 · Motion, made visible

Rotation.
Tension.
Movement.

Actuators pull the tendons. The fingers flex. This animated study makes that relationship easier to see.

03 · Look inside

Every part
has a purpose.

The frame brings the fingers and actuators together. The layers separate here to reveal the assembly.

04 · Beyond the render

Build it.
Test it.
Learn from it.

Our course work connected MATLAB analysis with assembly, motor communication and calibration.

Yale OpenHand T42 fabrication CAD reconstructed into a dark studio scene with tendon-driven fingers.
MODEL T42 ROBOTIC GRIPPERYale OpenHand CAD · illustrative assembly and motion
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Team course project · ROBO 204 · May 2026

Model T42 Robotic Gripper

Understanding a grasp, from the mechanism to the motor.

MATLABArduinoDynamixelTendon drive

01 / Purpose

What we set out to do.

Implement and understand the Yale OpenHand Model T42 gripper, an existing tendon-driven platform. The platform design belongs to the Yale OpenHand project.

02 / Approach

How it came together.

The team used MATLAB analysis, assembled printed components and tendon-driven fingers, and worked with Arduino and Dynamixel control. Testing covered motor communication, calibration, speed synchronization, opening and closing, and basic grasping.

03 / Contribution

The work, and the team.

Team project with Husain Altelly, Mohammed Muqeet, Obaid Alaleeli, and Ibrahim Alhammadi. The report supports a shared implementation credit; it does not reliably divide individual tasks.

04 / Demonstration

What the visuals show.

The report documents tendon routing and the assembled gripper. The visualization uses original Yale OpenHand fabrication CAD with presentation materials, simplified actuator housings, an illustrative tendon path and approximate finger deformation. Cast contact materials are not reconstructed. It is not a validated simulation or manufacturing reference.

05 / Results

What we can say.

The report documents assembly, calibration, and basic grasping tests. It does not establish a new gripper design or independently reproduced force and reliability benchmarks.

06 / Limitations

Where the limits are.

Tendon routing and calibration affect finger movement. Quantitative grasp-force, payload, and endurance results should not be claimed without measurements.

07 / Lessons learned

What I’m taking forward.

Working from an established mechanism makes calibration, mechanical assembly, and communication between the controller and actuators central engineering tasks.

Next project

Flowra

Visual sources & attribution

Blender visuals explain the projects. Balancing-robot geometry, the planning environment, Flowra interface and AURORA lander are original illustrative concepts made for this portfolio. Their movement, example text and layouts are not recorded results, original course CAD, production screenshots or gameplay.

The T42 scene uses Yale OpenHand Model T42 CAD from the OpenHand repository, licensed CC BY-NC 3.0. The assembly, materials, actuator housings, tendon path and deformation are illustrative. Cast contact materials are not reconstructed.

R. R. Ma, L. U. Odhner, A. M. Dollar, “A Modular, Open-Source 3D Printed Underactuated Hand,” ICRA 2013.

The Yale OpenHand Project is an initiative to advance the design and use of robotic hands designed and built through rapid-prototyping techniques in order to encourage more variation and innovation in mechanical hardware. Please visit the Yale OpenHand site for more details.