Robots can see. However, they still struggle to feel.
Robotiq’s tactile sensing technology is designed to help close that gap. Vision helps identify position and orientation, but it cannot detect pressure, slip, or contact quality. As a result, many automation tasks still require manual adjustment.
Tactile sensor fingertips add touch-based sensing directly to a robotic gripper, giving robots a new level of awareness during manipulation.
This shift supports the move toward physical AI robotics, where machines adapt to real-world variability instead of relying only on pre-programmed motion.
How tactile sensing improves robotic handling
With tactile feedback, robots respond to physical contact instead of following fixed motion alone.
Tactile sensor fingertips capture pressure, vibration, and orientation at the point of grip. As a result, robots can:
• detect slip early
• adjust grip force automatically
• handle part variation with more consistency
• support adaptive automation workflows
Because sensing happens at the gripper, the robot reacts instantly during the task.
Key capabilities of tactile sensor fingertips
Robotic tactile sensing adds real-time awareness to gripping and manipulation.
Key capabilities:
• Slip detection – prevents dropped parts
• Force awareness – improves grip stability
• Contact insight – supports better grasp strategies
• Adaptive automation – enables learning-based improvement
These capabilities are especially valuable for cobots, assembly, machine tending, and handling fragile or irregular components.
Why touch matters in automation
Vision alone is no longer enough for modern automation. Robots must understand physical interaction to perform reliably in real environments.
Tactile sensor fingertips help close that gap. By adding a sense of touch, robots can improve consistency, reduce errors, and support more adaptive automation strategies.
