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EAGERx is an Engine Agnostic Graph Environments for Robotics framework that lets you define modular robot environments as graphs of nodes, compatible with Gymnasium. It provides an interactive GUI to visualize graph environments and supports using a single graph across real-world and various simulators, with built-in sim-to-real features such as safety layers, state, action and time-scale abstractions, delay simulation, domain randomization, and real-world reset routines. It supports multiple engines (RealEngine, PybulletEngine, OdeEngine) and lets users add their own engines, enabling a unified pipeline for real-world and simulated learning.
Parse Score
Sources
arxiv.org shapes more of what AI says about EAGERx than any other source, at 100% of its citations.