Robotiq Launches the 2FC Physical AI Gripper
Robotiq launches the 2FC physical AI gripper
Robotiq has launched the 2FC physical AI gripper, a production-ready adaptive gripper with tactile sensing and embedded intelligence. It captures and labels contact-rich data for training and runs embedded intelligence locally to enable real-time robotic action based on tactile feedback. The gripper is available for pre-order in two stroke versions, with shipping beginning in Q1 2027.
Robotiq's 2FC physical AI gripper introduces tactile sensing and embedded intelligence to adaptive gripping, addressing the challenge of converting raw tactile data into actionable insights for robotic manipulation.
Source: Robotics & Automation News · Read original article ↗
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Robotiq has launched the 2FC physical AI gripper, a production-ready adaptive gripper with tactile sensing and embedded intelligence, helping robots learn from physical interaction and act reliably on what they learn, from the lab to production. Pre-orders open today, with shipping in Q1 2027. The industry is investing heavily in vision, demonstrations, simulation and data, yet manipulation ultimately depends on touc
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h. Most robots cannot feel what they grasp, leaving valuable contact data such as pressure, slip, force or position information uncaptured. While tactile sensing itself is not new, turning raw sensor data into useful training data and real-time behavior remains a challenge. The 2FC closes that gap by capturing contact-rich data that is synchronized and automatically labeled for training and then running embedded inte
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t (the AI Hub) and Contact Core, Robotiq’s software for physical AI. Contact-rich data, timestamped and synchronized . The gripper captures pressure, vibration, proprioception, force, position and current, synchronized at millisecond level in a shared time frame through a unified API. ROS 2 package and C++ SDK will be available on Robotiq GitHub. Embedded intelligence with Contact Core . With compute built into the g
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Source：Robotics & Automation News · roboticsandautomationnews.com