The demand for greater efficiency in the processing and storage industries has accelerated the development of robotic automation. Large corporations increasingly rely on fleets of autonomous mobile robots to transport inventory within their warehouses, gaining significant logistical advantages. Companies such as Amazon have acquired specialized robotics firms, including Kiva Systems and Cloostermans, to build extensive in-house robotic operations under the Amazon Robotics brand. However, despite rapid advances at the top end of the market, access to automation remains highly uneven across the industry. Smaller storage facilities and independent warehouses often struggle to adopt robotic systems due to high upfront investment costs and the difficulty of reconfiguring limited floor space for traditional automation architectures. This growing technological gap risks creating monopolistic market conditions, restricting innovation and widening the efficiency divide between large and small enterprises. To address these challenges, more flexible and scalable robotic solutions are needed. One promising approach involves the use of smaller, lower-cost robots operating collaboratively in a swarm to transport larger or heavier inventory items. By distributing load-sharing across multiple robots, such systems offer better adaptability to constrained environments and reduce the cost barriers associated with traditional large-scale automation. Advancing coordinated multi-robot control strategies is therefore a critical step toward democratizing access to warehouse automation and ensuring that efficiency gains are broadly shared across the storage and logistics industries