What are the challenges and future directions in the development of advanced control systems for robots and industrial systems?
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The challenges in developing advanced control systems for robots and industrial systems include the increasing complexity of production systems, the need for self-learning capacities, optimal resource utilization, and resilience to varying conditions . Additionally, the interconnected nature of Operational Technology (OT) systems poses cybersecurity threats, requiring advancements in digital forensics for Industrial Control Systems (ICS) . Future directions involve leveraging Edge Computing solutions for time-sensitive robotic applications, co-designing compute-communications-control components, and ensuring safety and security in Edge Robotics systems . Addressing technical challenges, enhancing system co-design paradigms, and focusing on safety and security aspects are crucial for the development of efficient and reliable advanced control systems for robots and industrial applications.
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| Papers (5) | Insight |
|---|---|
1 Citations | Challenges include tight latency, safety, and scalability for factory-scale Edge Robotics. Future directions involve co-design, virtualized functions, and Edge system simulation to enhance control in industrial systems. |
1 Citations | Challenges include achieving precise, high-speed coordination in Edge Robotics due to latency and safety requirements. Future directions involve co-design, virtualized functions, and system scalability for factory-scale implementation. |
| Challenges include process dynamics, optimization complexity, human interaction integration, and transparency. Future directions involve enhanced autonomy, real-time data utilization, and improved decision-making interfaces for self-optimizing industrial systems. | |
| Challenges in advanced intelligent control for robots include adapting to unforeseen changes. Future directions involve integrating emerging technologies like IoT, bio-inspired techniques, and cyber-physical systems for enhanced control. | |
1 Citations | Not addressed in the paper. |
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