Search Results for "software deployment"

NVIDIA Isaac Sim is a high-fidelity robotics simulation platform built on NVIDIA Omniverse to develop, test, and validate AI-driven robots in physically accurate virtual environments. It supports a wide array of robotics formats (URDF, MJCF, CAD), includes GPU-accelerated physics, and features immersive RTX rendering and multisensory simulation. Realistic physics via GPU-accelerated engines and RTX ray tracing. Multi-sensor simulation (RGB-D cameras, Lidar, Radar, IMU, contact sensors)....

...It provides a high-level abstraction layer over the underlying hardware, allowing developers to interact with the robotic system through simplified joint-space commands rather than low-level motor instructions. The software includes a suite of scripts for calibration, tensioning, and positioning, ensuring that the physical hand operates accurately and consistently across different configurations. It is designed to integrate seamlessly with hardware models defined through configuration files, enabling flexible deployment across variations of the ORCA Hand. ...

...HomeRobot integrates perception, planning, and control under a unified architecture, supporting AI Habitat for simulation and ROS Noetic for real-world deployment. It provides interfaces for Detic, Grounded-SAM, and Contact-GraspNet, allowing open-vocabulary detection and 3D grasping.

...It features full competition simulation, with automatic scoring and timing and multiple robot designs to choose from. VirtualVEX is also programmable: users can write and upload code using the bundled VVDevelop IDE, which has one-click deployment and testing support. VirtualVEX also supports dual-pad joysticks similar to those used by the actual VEX platform, allowing users to get realistic driving practice. The software is free and is distributed under the GPL v.3

A simple messaging system designed for rapid deployment on robotic platforms. Based on the venerable Inter-Process Communication Package, simpleIPC offers several key extensions: units, auto-discovery, message descriptors, and a Python wrapper. See Soto.