Advantages:
- This technology improves productivity, enabling seamless collaboration and optimized resource utilization in smart factories.
- The technology enhances the robustness and resilience of smart factories, maintaining objective performance under challenging circumstances.
- It strengthens security measures and cyber defense, ensuring the integrity and continuity of operations in smart factories.
Business Summary:
This Research focuses on a systematic methodology for achieving resilience production in Intelligent Multi-Robot Systems (MRS) within smart factories. It addresses concerns regarding diverse accuracy degradation of heterogenous production robots that impact the robustness, resilience, and security of smart factories. The proposed approach focuses on relative accuracy by multiple production robots collaborating to coordinate their task executions. The methodology includes a social physical heterogeneous multi-robot system model, stochastic social network formulation algorithm, and a systematic AI network including social learning and reinforcement learning for consensus decision-making. Computational experiments demonstrate the robustness of the proposed method against stochastic dynamics and its resilience against abrupt disturbances. This technology holds great promise for enhancing the performance and reliability of smart factories.
The hybrid distributed Multi-Robot System in a smart factory.
Desired Partnerships:
- License
- Sponsored Research
- Co-Development