Robotiq Releases ROS 2 Packages for Adaptive Grippers
If you run a Robotiq gripper in the Robot Operating System (ROS) 2 workspace today, you are almost certainly running PickNik...
Robotiq Releases an Open-Source C++ SDK for Adaptive Grippers
As physical AI moves from research into real applications, developers need a solid primitive that meets them where they work:...
Physical AI: The DARPA Legacy & the Road Ahead — The Parallel Playbook: What Autonomous Driving Can and Can’t Teach Physical AI
The DARPA challenges offer a useful playbook for physical AI. They show how an impressive technical demonstration can help...
Physical AI: The DARPA Legacy & the Road Ahead — From Face-Plants to Foundation Models
Part 1 of 2, Physical AI: The DARPA Legacy & the Road Ahead. What the DARPA Robotics Challenge Actually Built—and Why It Still...
Tactile-Based Robot Centering as a Capability for Dexterous Manipulation
A robot does not always grip a part exactly where intended. Vision may guide the gripper close, but camera calibration, part...
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How Robotiq Built the TSF-85 Tactile Sensor to the Spec of the Human Hand
Read the full technical article from Jennifer Kwiatkowski on Tech Brief.For teams building contact-rich manipulation, tactile...
Robotiq releases TSF-85 Tactile Sensor Digital Twin on NVIDIA Isaac Sim
Also read NVIDIA's COMPUTEX coverage, where Robotiq appears alongside the latest Isaac GR00T updates.
The economics of Physical AI: Why data quality beats scale
To reach the level of robustness the Physical AI community aspires to, namely generalist policies deployable zero-shot on...
How tactile sensing improves model performance
Vision-language-action models are the current state of the art in robotic manipulation. They still cannot pick up a potato chip...
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