QUEBEC CITY— January 27, 2026— Robotiq today announced the launch of its TSF-85 tactile sensor fingertips for the 2F-85 Adaptive Gripper, giving Physical AI systems the sense of touch needed for real-world manipulation. With integrated tactile sensing, Robotiq enables robots to not only see the world, but to feel, understand, and reliably interact with it at scale. The Tactile Sensor Fingertips for the 2F-85 gripper are available now. 

Robots cannot learn the physical world through vision alone. Real-world manipulation requires contact awareness, force control, and feedback from interaction. With integrated tactile sensing, Robotiq expands its proven manipulation system beyond vision alone, enabling robots to feel, understand, and reliably interact with physical objects at scale. The solution is designed for immediate use in AI training labs, humanoid robotics, and industrial Physical AI applications.

“Physical AI demands more than clever algorithms—it demands reliable interaction with the real world,” said Vincent Duchaine, CTO Artificial Intelligence at Robotiq. “By combining adaptive gripping with high-frequency tactile sensing, we’re giving robots the sense of touch and control they need to generalize across objects, tasks, and environments without the cost and complexity of anthropomorphic hands.”

Adaptive gripping meets touch-enabled dexterity

Robotiq’s 2F-85 Adaptive Gripper is built on a patented mechanical design that goes beyond a traditional parallel gripper. While parallel grippers rely on precise positioning and rigid alignment, the 2F gripper provides inherent adaptability by offering both pinch and encompassing grips, with stroke lengths of 85 mm and 140 mm. This allows the gripper to conform to object shape, reduce grasp planning complexity, and minimize reliance on perfect vision, making it well suited for general-purpose Physical AI systems designed to handle a wide variety of objects.

The new tactile fingertips add a powerful sensing layer:

• A 4×7 static taxel grid to monitor force distribution
• Micro-slip detection at 1000 Hz for stable, precise manipulation
• An integrated IMU for proprioceptive sensing and contact awareness

Together, these capabilities allow robots to understand contact geometry, detect incipient slip, and improve generalization across diverse objects, capabilities that are critical for Physical AI datasets.

Built for fleets, not just demos

Unlike fragile, custom-built tactile hands that often struggle with durability and operational limits, Robotiq’s solutions are designed for scalable, long-term deployment. Thousands of Robotiq grippers are already operating globally in demanding industrial and research environments, delivering high uptime, consistent performance, and low total cost of ownership.

The tactile-enabled 2F grippers integrate easily into existing systems using native RS-485 communication and a USB conversion board, enabling flexible deployment across robot brands and research platforms. The tactile fingertips are designed to preserve the gripper’s encompassing and pinch grip mechanics, with minimal impact on stroke and reach, and feature robust cabling built for real-world operation.