Top Tweets for #qace

QACE Dynamics | Parallel ROS-Gazebo Communication Layer The QACE dApp now supports unique simulation mapping for each user session, enabling true parallel operation across multiple simulation streams. ROS 2 and Gazebo communicate through their own transport layers, each using dynamically assigned ports managed by DDS and Ignition Transport. QACE bridges these layers by linking their unique session identifiers, creating a synchronized communication channel between the two systems inside isolated environments. Each simulation instance is assigned a unique ID, allowing the dApp to map user commands, telemetry, and intent execution precisely to the correct stream. This ensures independent, real time operation of multiple simulations running in parallel through Qognix. A key step toward scalable multi user autonomy inside the QACE ecosystem. #QACE #Robotics #AI #EdgeAI #ROS2 #Gazebo #QARC #RoboticsLab

QACE Dynamics | Weekly Progress The first week of QACE has been packed with milestones. Here is what we have achieved since launch: - $QACE officially went live - Docs officially released - Introduced the tech: • QARC the supercomputer for robots • Plug-and-play autonomy • Unified robotics layer - Launched our LP Growth Program - Listed on CoinMarketCap - Listed on CoinGecko - Released comparison: Why QACE is Different - Etherscan profile updated - Announced our first preview of VIBR, dropping tomorrow

QACE Dynamics | Why Qace is Different The traditional way of adding AI to robots means juggling toolchains, long dev cycles, costly overhauls, and complex tuning. Qace changes this with a unified AI layer, drag and drop modules, easy upgrades for existing bots, and Lego-like blocks that scale across any environment.