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Dynamic task offloading is essential for real-time robotic applications, enabling them to adapt to fluctuating computational demands and maintain efficiency under changing conditions. This paper introduces a dynamic task offloading framework that incorporates monitoring, decision making, offloading triggering, and performance monitoring to optimize resource usage by offloading real-time tasks to edge and cloud servers. A use case from the manufacturing industry demonstrates the framework’s application, enhancing robotic functions like motion planning. WebAssembly enables the execution of the robotics application across diverse environments, improving both portability and computational efficiency. By addressing key challenges, this work sets the stage for future offloading frameworks to meet the evolving needs of robotic systems.