Robotiq brings the sense of touch to Physical AI

Physical AI has reached a critical point. Robots can see, plan, and decide better than ever—but manipulation in the real world is still the bottleneck.

Robots can see objects with impressive accuracy, yet still drop them, crush them, or fail to adapt when contact doesn’t go as planned. The limitation isn’t compute or models. It’s the lack of touch.

Real-world learning requires contact awareness. Force. Slip. Interaction feedback. Without those signals, robots are forced to guess at the most critical moment—when they actually touch the world.

That’s why Robotiq is introducing tactile sensor fingertips for the 2F-85 Adaptive Gripper, bringing high-frequency tactile sensing to a proven manipulation platform already used at scale.

By Jennifer Kwiatkowski on Jan 27, 2026 in Robot Grippers. 4 min read time