The Challenge 

Current systems in various industries such as Logistics and manufacturing are not capable of extensive resiliency and adaptability to different conditions, and require slow human work force to operate. For instance, the warehouse automation and replacement of manual work force with autonomous robots results in a 200-300% efficiency increase, according to "Lucasware company". On the other hand, the present automation solutions for logistics and manufacturing facilities, does not have extensive adaptation capabilities, and thus, numerous types of robots have to be manufactured, where some may just be used for rare occasions. A modular system can solve this problem!

The Solution

Our system is a modular autonomous mobile robot (AMR). In other words, instead of designing large and heavy-duty robots for warehouse & manufacturing automation purposes, we create small/medium-sized AMRs with the ability of attaching to and detaching from each other and thus, creating customized systematic forms for various applications. For instance, 100 of our robots can operate simultaneously to move 100 small packages, but once a larger package arrives, few of them can join together to carry the larger object. Therefore, another separate type of robot with a cost of around 30'000 Euros is not needed to just sit useless, unless a large package arrives. The entire swarm of these robots is always in work and adjusting themselves to the real-time needs of the warehouse. This means resiliency, maximum performance and complete fulfillment!

The Mission

Our mission is not limited to warehouse and manufacturing facilities automation, but rather, we aim to expand our robots' capabilities beyond, to be applicable for various demanding tasks, that do not have a solution yet. For instance, we aim to design small-sized modular AMRs for high-risk on-land missions, that require dynamic adaptability of the system's shape to the surrounding topography and lateral forces. These modular and adaptable AMR systems act as swarms of small robots and can have applications in space explorations, expedition missions, etc. As a final remark, we aim to design modular, adaptable and resilient mechanical systems, that possess high-level of internal intelligence and are dynamically adaptable, exactly as their biological counterparts.

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