Modular Autonomous Robot System (MARs)

Autonomous robots and artificial intelligence represent the bleeding edge technologies in their respective spectrum. MARs serves as an embodiment and convergence of advanced software and hardware development. The concept is further developed by incorporating modularity and AI-powered full autonomy into its foundation. The architecture of MARs is founded on the basis of modularity and extends itself through upgradable top-mounted modules, which redefines its specialised application in various contextual environments and user scenarios, including medical clinics, industrial warehouses, emergency response and aerospace. The interchangeable modules complement each other and form an interconnected network in the deployed environment. For maximum manoeuvrability, MARs base units feature wireless charging, motorised locking mechanisms, and electronically controlled 4+2 wheel platforms. It is compatible with a nearly limitless array of top-mounted module designs, currently including a mobile storage transportation module, UVC disinfection module, AirLift module, and more. The modular system extends beyond the concept of interchangeability, challenging both the categorical and geographical boundaries of robots. MARs provides local (Land) modules as well as cross-country (Air) aerial support. The application for emergency transportation of tools/medical supplies is no longer limited. One system, unlimited robots. Once integrated into the contextual environment, MARs is set to operate 24/7 with zero downtime. Multiple tasks can be accomplished with a minimal number of robots as the modules are interchangeable. Fleet management will be controlled by artificial intelligence and monitored by authorised personnel through a centralised system, achieving flexibility in applications and swarm sequence behaviour in the event of a surge of a particular task, such as emergency decontamination. In addition to interchangeability, scalability and extensibility are crucial to the system implementation. MARs is set to establish localised robot autonomation in medical contexts. The initial phase is followed by an interconnected network of multiple MARs-enabled sites, allowing for wide coverage of interregional missions by autonomous drones such as organ delivery. Once the network of interregional operations matures, MARs advances disaster response with the emergency deployment of MARs at ground zero within the first 72 hours, greatly increasing the survival chances for those affected by providing prompt medical attention. Red Dot Award: Design Concept | Concept | Artificial Intelligence