Research & Education

Robotic Dexterous Manipulation Research

Customer: A robotics lab at a top-10 Chinese university

The intelligent bionic five-finger dexterous hand serves as a research platform supporting ROS, deep reinforcement learning and teleoperation, enabling top-conference publications.

12
Active DoF
ROS1/2
Fully Supported
10+
Top-Conference Papers
20+
Universities Using
Project Background

Customer Challenges

Robotic dexterous manipulation is a frontier direction in robotics, requiring a high-DoF dexterous hand as a research platform. Imported dexterous hands are expensive (hundreds of thousands RMB each) with difficult after-sales and technical support, while mature commercial domestic options are scarce. The university lab needed a cost-effective dexterous hand with open interfaces, ROS support and a complete SDK for research into dexterous manipulation, reinforcement learning and hand-eye coordination.

Open Interfaces

Research requires open control interfaces and an SDK to access low-level sensor data and send low-level control commands.

ROS Support

Robotics research broadly uses ROS; native ROS1/ROS2 support with URDF and simulation models is required.

High Degrees of Freedom

A five-finger hand with enough DoF to achieve human-hand-level dexterous manipulation is required.

Teaching Support

Beyond hardware, thorough documentation, sample code and teaching resources are needed for students to get started quickly.

Solution

Jodell Solution

Jodell supplied the research edition of its intelligent bionic five-finger dexterous hand: 1) 12 active DoF in an anthropomorphic structure, each finger integrating position and force sensors; 2) Fully open SDK in C++/Python, exposing all sensor data and position/force control commands; 3) Native ROS1 Noetic and ROS2 Foxy/Humble support, with URDF, MoveIt config packages and Gazebo simulation models; 4) Detailed development docs, API manual and sample code from basic control to reinforcement-learning training; 5) Supports teleoperation, hybrid force/position control and impedance control; 6) A dedicated research technical-support group for rapid response to research questions.

Products Used

Project Results

Customer Value

10+
Top-Conference Papers
10+ papers at ICRA, IROS and other top conferences based on this hand
Open
Open SDK
Complete SDK and ROS support for rapid student onboarding
20+
Universities Adopting
20+ universities and research institutes use Jodell dexterous hands
5+
Research Directions
Supports 5+ directions: dexterous manipulation, reinforcement learning, teleoperation, and more
"The Jodell dexterous hand is the best-value and best-supported commercial dexterous hand we have used. The SDK is highly open, ROS support is thorough, documentation is detailed, and students get started on experiments quickly. Technical support responds the same day — ideal for research use."

Professor, Robotics Lab, a University

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