The article discusses the development and implementation of the Kiva warehouse-management system, which uses autonomous robots to significantly improve warehouse operations. Kiva's system employs small, autonomous robots called drive units that move inventory pods to workers, allowing workers to pick items directly from the pods rather than the other way around. This approach increases productivity by up to two times, reduces the need for manual labor, and improves accuracy and flexibility. A typical Kiva installation in a large warehouse may involve hundreds of robots, making it one of the largest commercial autonomous robot systems available. The Kiva system is based on a multiagent system, where each robot and station is a computational agent that can receive requests and act on them. The system uses a centralized Job Manager to allocate resources and coordinate tasks among the agents. The system is designed to be flexible, scalable, and efficient, with the ability to adapt to changes in inventory policies and storage requirements. It also allows for rapid deployment and expansion, as there is no fixed infrastructure required. The Kiva system has been successfully implemented in various warehouses, including a candy warehouse and a Staples office supply warehouse, where it has significantly improved productivity and reduced operational costs. The system has also been used in other applications, such as search and rescue, mine exploration, and scientific exploration, demonstrating its versatility and effectiveness. The Kiva system is influenced by AI techniques, including multiagent programming, path planning, and resource allocation. These techniques enable the system to handle complex tasks efficiently and adapt to dynamic environments. The system's design allows for a natural decomposition of the computation, making it easier to manage and scale. The Kiva system has been shown to be more cost-effective and efficient than traditional automation systems, which are often expensive, inflexible, and difficult to expand. The system's ability to handle a wide range of product types and sizes, combined with its flexibility and adaptability, makes it a promising solution for modern warehouse operations. The article concludes by highlighting the potential of the Kiva system to revolutionize the material-handling industry through the use of autonomous robots and AI techniques.The article discusses the development and implementation of the Kiva warehouse-management system, which uses autonomous robots to significantly improve warehouse operations. Kiva's system employs small, autonomous robots called drive units that move inventory pods to workers, allowing workers to pick items directly from the pods rather than the other way around. This approach increases productivity by up to two times, reduces the need for manual labor, and improves accuracy and flexibility. A typical Kiva installation in a large warehouse may involve hundreds of robots, making it one of the largest commercial autonomous robot systems available. The Kiva system is based on a multiagent system, where each robot and station is a computational agent that can receive requests and act on them. The system uses a centralized Job Manager to allocate resources and coordinate tasks among the agents. The system is designed to be flexible, scalable, and efficient, with the ability to adapt to changes in inventory policies and storage requirements. It also allows for rapid deployment and expansion, as there is no fixed infrastructure required. The Kiva system has been successfully implemented in various warehouses, including a candy warehouse and a Staples office supply warehouse, where it has significantly improved productivity and reduced operational costs. The system has also been used in other applications, such as search and rescue, mine exploration, and scientific exploration, demonstrating its versatility and effectiveness. The Kiva system is influenced by AI techniques, including multiagent programming, path planning, and resource allocation. These techniques enable the system to handle complex tasks efficiently and adapt to dynamic environments. The system's design allows for a natural decomposition of the computation, making it easier to manage and scale. The Kiva system has been shown to be more cost-effective and efficient than traditional automation systems, which are often expensive, inflexible, and difficult to expand. The system's ability to handle a wide range of product types and sizes, combined with its flexibility and adaptability, makes it a promising solution for modern warehouse operations. The article concludes by highlighting the potential of the Kiva system to revolutionize the material-handling industry through the use of autonomous robots and AI techniques.