Qace Dynamics
@Qace_Dynamics • 1,615 subscribers
The Plug-and-Play Intelligence Layer for Robots
Videos
Qace Dynamics | End to End Autonomy Today we show the full workflow of how QACE brings autonomy to robots. Inside the dApp you can define inputs, outputs, and rules, then add modular AI blocks that map directly into reusable ROS2 nodes and DDS communication interfaces. The system interprets natural instructions through the NLP core, compiles them into abstract syntax trees, builds the directed execution graph, and generates the scripts automatically. The workflow is validated back in Gazebo where detections, temporal operators, and event triggers are applied in real time against the simulation runtime. From there the same pipeline can be containerized and deployed on QARC or directly on the robot with no additional coding or manual integration. This is how we replace fragmented pipelines and redundant middleware with one unified framework where high level intent is compiled into deterministic autonomy graphs.
Qace Dynamics53,180 Aufrufe • vor 8 Monaten
QACE Dynamics | Qognix Rule Engine Qognix is built on a library of modular AI blocks that can be reused across many applications. Each block has NLP built in, so it understands natural instructions and converts them into intents, rules, and actions. The blocks are organized as tiles for specific domains such as surveillance, navigation, manipulation, or voice, which makes it simple to assemble intelligence for any robot. Every block is simulation ready, so engineers can validate workflows inside the dApp or in Gazebo before deployment. Once tested, the same blocks run seamlessly on hardware through QARC or directly on the robot. This approach turns robotics AI into a system of reusable and composable parts. From perception to decisions, Qognix makes intent driven autonomy practical and scalable
Qace Dynamics36,922 Aufrufe • vor 8 Monaten
QACE Dynamics | VIBR Tech Preview 1 Introducing VIBR, the vision intelligence block that brings real perception to robots. In this first preview, we take a simple vacuum bot, connect it through the QACE dApp, and instantly give it object detection and smarter behavior without touching code. QACE makes it easy by automating the usual workflow: what once took hours of coding in Python and assembling AI models is now reduced to a few clicks. Complex AI vision blocks are created, configured, and ready-to-deploy scripts are generated automatically. Robots can now see, decide, and act in real time. Up next: we will show how these rules and actions evolve into full autonomy modules, with the Qognix Tech Preview dropping this week.
Qace Dynamics29,448 Aufrufe • vor 9 Monaten
QACE Dynamics | Autonomous Navigation Preview Today we are showing autonomous navigation running live inside QACE, the robot plans its route on the map, then adjusts in real time as lidar and vision pick up new obstacles. All of this runs through a single navigation block inside QACE, ready to plug into different robots without touching low-level control. This navigation block is one of the core building pieces of QACE autonomy, and it’s just the first of many we will be rolling out.
Qace Dynamics12,654 Aufrufe • vor 7 Monaten
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