AIToday
RoboticsAI Business & IndustryRobotics & Automation NewsPublished: Jul 22, 2026, 16:00 JST

Siléane and HBK embed tactile sensors in robot grippers for cosmetics packaging

Siléane and HBK embed tactile sensors in robot grippers for cosmetics packaging

3 Key Points

  1. What happened

    France-based robotics firm Siléane partnered with Hottinger Brüel & Kjær (HBK) to integrate four factory-calibrated PW22i smart load cells—one at each contact point—directly into a robotic gripper for a global cosmetics manufacturer. The sensors, equipped with IO-Link connectivity, enable the robot to validate grip quality in real time during high-speed packaging of lightweight, flexible components like thermoformed trays.

  2. Why it matters

    Traditional industrial robots lack tactile feedback, so imbalanced grips can cause product loss or tray deformation in fast-moving packaging lines. By embedding force measurement at the point of interaction rather than relying on external inspection, Siléane delivers zero-defect grip validation without slowing production—significantly reducing scrap and improving system reliability in highly regulated cosmetics manufacturing.

  3. What to watch

    The integration delivered immediate operational benefits including reduced product scrap, faster commissioning times, and improved repeatability across installations, ultimately leading to a faster return on investment according to the project details.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

Context & Analysis

The challenge addressed by this partnership reflects a fundamental limitation in conventional industrial automation: while robots excel at speed and repeatability, they operate without physical sensation—a critical gap in industries handling delicate, lightweight components under tight tolerances. In cosmetics manufacturing, where product quality and packaging integrity directly affect brand reputation and regulatory compliance, this gap creates real operational risk. Traditional solutions relying on simple position tracking or binary detection provide minimal visibility into actual grip quality, leaving manufacturers vulnerable to hidden failures that downstream inspection may catch too late.

Siléane's approach—embedding measurement intelligence directly at the point of interaction rather than bolting on external validation stages—represents a shift toward what HBK's Simon Kleefeldt calls a "fundamental shift in automation: embedding intelligence at the sensor level." By integrating four IO-Link-enabled load cells into the gripper itself, the system achieves what earlier solutions could not: real-time, per-cycle visibility into grip force at every contact point, with immediate feedback to correct deviations before they become defects. This design choice has practical merit: it avoids the complexity, cost, and latency of external inspection systems while simplifying the cabling and integration challenges that have historically slowed deployment of advanced sensing in production environments.

FAQ
How many sensors were integrated into the gripper, and where are they placed?
Four factory-calibrated PW22i smart load cells were integrated directly into the robotic gripper, with one sensor placed at each contact point.
What connectivity technology enables these sensors to integrate into modern automation systems?
The PW22i load cells are equipped with IO-Link connectivity, which simplifies system architecture and reduces cabling while enabling seamless integration into Industry 4.0 automation architectures.
What problem does this solution solve in cosmetics packaging?
Traditional robotic handling systems lack tactile feedback, so imbalanced grips can lead to product loss or tray deformation when handling lightweight, flexible components like thermoformed trays; the embedded sensors provide real-time grip quality validation to prevent these failures.
Robotics & Automation NewsRead Original Article

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.

Questions and answers are published on this page.

Related Articles

Next articleSkypuzzler Bets Math Beats AI for Drone Airspace Safety