Traditional robotic systems rely on centralized architectures where a single controller processes sensory data, constructs global states, and generates explicit actuator commands. These systems often suffer from latency bottlenecks and systemic fragility caused by single-point failures under tightly coupled control architectures.

In contrast, biological systems like plants and octopuses distribute sensing and control across neural, morphological, and environmental interactions, enabling robust adaptability. These biological systems uniquely blend centralized and decentralized mechanisms, balancing rapid localized responses with strategic global coordination.

This workshop explores two interconnected research frontiers: (1) bio-inspired decentralized and centralized paradigms for robotic perception, control, and environmental interaction; and (2) synergistic integration of centralized and decentralized intelligence in robotic systems, mirroring biological strategies such as neural hierarchies and distributed sensorimotor loops.

Join us as we bridge biological principles with robotic innovations to advance adaptive systems capable of thriving in unstructured environments. Our discussions will span theoretical models, hardware implementations, and real-world applications, fostering cross-disciplinary insights for next-generation bio-inspired robotics.