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Tesollo

High-performance robotic gripper and dexterous hand manufacturer.
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About Tesollo

Tesollo designs and manufactures advanced robotic grippers and dexterous robotic hands for next-generation automation and humanoid robotics.

We develop core technologies in-house, including direct-drive actuation, high-DoF mechanisms, sensing interfaces, and real-time control, to enable precise and reliable manipulation.

Our products integrate with modern robotics and AI frameworks, supporting robotics research, industrial automation, and humanoid applications. We provide scalable and customizable manipulation platforms that help teams move from laboratory research to real-world deployment.

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Developer Resources

Explore open-source software, robot models, simulation tools, and technical documentation for Tesollo robotic hands and grippers.

Resource Description
ROS 2 Drivers & Packages ROS 2 drivers, ros2_control interfaces, MoveIt 2, Gazebo simulation, and SDK integration resources.
Robot Models – URDF, USD, XML Robot models for simulation, visualization, motion planning, and system integration.
Sensor Modules – Simulation Sensor Integration Tactile sensor modules, configurations, and simulation integration examples (3-axis force and 6-axis F/T sensors coming soon).
Reinforcement Learning Tutorial Reinforcement learning environments, task configurations, and training examples based on NVIDIA Isaac Sim and Isaac Lab.
Release Notes – DGManager, DGSDK, Firmware Version histories, software updates, new features, improvements, and bug fixes.

Documentation & Support


Tesollo — All in on robotic hands.

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  1. delto_m_ros2 delto_m_ros2 Public archive

    C++ 14 12

  2. tesollo_model tesollo_model Public

    URDF, USD, and XML robot models for Tesollo dexterous robotic hands and grippers.

    11 3

  3. tesollo_ros2 tesollo_ros2 Public

    ROS 2 drivers and control packages for Tesollo robotic hands and grippers, including ros2_control, MoveIt 2, Gazebo simulation, and SDK integration.

    4 2

  4. tesollo_sensor_lab tesollo_sensor_lab Public

    Tactile sensor simulation modules for Tesollo dexterous robotic hands in NVIDIA Isaac Lab and Isaac Sim, including sensor configurations and integration examples.

    Python 4

  5. dg5f_s_ros2 dg5f_s_ros2 Public

    ROS 2 drivers, ros2_control, MoveIt 2, Gazebo simulation, and URDF models for Tesollo DG-5F-S dexterous robotic hands (20-DoF / 15-DoF).

    Python 3 1

  6. delto_b_ros2 delto_b_ros2 Public archive

    Python 2 1

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