Robotiq

Tactile sensing in robotics is not new. What is new is a gripper that interprets contact itself, on the tool, at the moment it happens. The industry is instrumenting vision, demonstrations and simulation. All three miss the moment that…

Heads up to users of the Rolling Ridley or Lyrical Luth #ROS releases! ros2_control version 6.12.0 removes the hardware_interface and controller_interface API calls that have been deprecated since Jazzy. More info: https://t.co/FnCGqqN9fk…

This is great https://t.co/cq7AS1NR01

IROS 2026 lists 183 exhibitors in its official directory including companies and organizations. 1. 42de GmbH 2. Abaka AI 3. Aether AI 4. AGIBOT 5. AgileX Robotics 6. Agility 7. Amazon 8. Analog Devices Inc 9. Apex Sensing LLC 10. Applied…

人型机器人创业，抄的是上一家刚公开的答案 我们到底在造机器人，还是在追美国人的 BOM？ 这几年看人形机器人，我越来越经常看到一种熟悉的产品决策方式。 看到美国公司用 RealSense，我们也用 RealSense。 Tesla 做五指灵巧手，于是大家研究五指、腱绳、空心杯电机。 Figure 进入汽车工厂，工业场景很快成为行业热点。 2025 年 Sunday Robotics 发布…

IROS 2026 has a seriously packed exhibitor list. Unitree AGIBOT Agility Robotics PAL Robotics Franka Robotics Robotiq DH-Robotics XELA Robotics Tesollo Vicon XSens MyActuator Noitom Robotics Seeed Studio FieldAI and many more are on the…

Simulate Robotiq Grippers With NVIDIA Isaac Sim and Newton https://t.co/ASaMEilxds

If you've ever run a Robotiq gripper in ROS 2, someone wrote that driver on their own time 🦾 @Robotiq_Inc grippers have worked in ROS 2 and Isaac Sim for years, and the community put them there. Volunteers wrote the drivers, built the…

Go under the hood of Robotiq’s gripper simulation workflows in NVIDIA Isaac Sim. Join us and @Robotiq_Inc experts to learn how the team solved a complex articulation challenge using Newton, PhysX, and mimic joints. You’ll also learn about…

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If you run a Robotiq gripper in the Robot Operating System (ROS) 2 workspace today, you are almost certainly running PickNik Robotics' ros2_robotiq_gripper . As of today, there is an official Robotiq-maintained package, and it is a drop-in…

As physical AI moves from research into real applications, developers need a solid primitive that meets them where they work: control loops that decide, hundreds of times per second, when to close, how fast, and with how much force.

The DARPA challenges offer a useful playbook for physical AI. They show how an impressive technical demonstration can help create an industry. But they are not a timeline. The first DARPA Grand Challenge for autonomous vehicles took place…