Robotiq Grippers Physical AI

Robotiq enables Physical AI

Robotiq enables Physical AI by giving robots the sense of touch and control they need to learn and act in the real world.

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Physical AI Foundation Model training

The Physical Foundation for AI

Robotiq is a recognized leader in adaptive grippers and accessories, with over 23,000 units deployed worldwide.

Our products work together to provide the core physical interaction and sensing capabilities required for multimodal learning, robotic manipulation, and Physical AI foundation model training.

By combining proven, robust hardware with multiple sensing modalities, Robotiq addresses two of the main challenges in Physical AI today: dexterity in real-world interaction and scalability at a sustainable cost.

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Perception to Action

Robotiq products provide the physical interaction and feedback layer that allows AI systems to act in the real world.

Adaptive grippers mechanically conform to object variability, reducing the need for precise grasp planning, while force, torque, and tactile sensing deliver real-time physical signals for closed-loop control and learning.

Integrated with modern robotics and AI models, Robotiq hardware turns AI decisions into robust, data-rich physical actions.

Link to Technical Documentation

Build and Simulate with Robotiq

ROS Packages

Build your robot application
Robotiq provides ROS packages that expose gripper control, force–torque data, and tactile sensing as first-class signals in your robotics stack.

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NVIDIA Isaac Sim

Bridge simulation and reality for Physical AI
Robotiq hardware models are available in NVIDIA Isaac Sim, enabling simulation-based training and validation before deployment.

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Adaptive Grippers

Adaptive grippers form the foundation of Physical AI manipulation. Robotiq’s 2F-85, 2F-140 and Hand-E grippers provide a simple, robust way to interact with a wide range of real-world objects.

High uptime: Reliable manipulation in unpredictable environments featuring a patented encompassing grip.

Consistent at scale: Proven, repeatable, and robust hardware with 23 000+ grippers deployed.

Flexible integration: Designed for modern AI pipelines with standard communication protocols.

High value: 90% of tasks at 10% of the cost.

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Tactile Sensor Fingertips

The TSF-85 provides rich multimodal data
for foundation model training, enables better grasp decisions and stability, improves generalization across objects and contact geometry for a consistent grip.

Pressure for contact awareness with 28 taxels.

Vibration for slip detection at 1000 Hz.

Proprioception for accurate finger orientation with IMU sensing.

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Force Torque Sensor - Physical AI

Force Torque Sensor

The FT-300-S is a 6-DOF force-torque sensor that gives Physical AI systems precise, high-resolution contact awareness for compliant, contact-rich manipulation.

By accurately detecting and measuring interaction forces, it enables robots to regulate contact, adapt to variability, and recover from uncertainty in real-world tasks, reducing tuning effort, simplifying programming, and accelerating the transition from simulation to reliable deployment.

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To build physical AI that truly works, you need hardware that can sense, respond, and learn from every interaction. That's why we chose Robotiq. With Robotiq precision force control and reliable feedback, we capture rich sensory data from every grasp.

Alexei Filippov_YangoTechRobotics

Alexei Filippov

Head of business development, Yango Tech Robotics