{"product_id":"advances-on-robotic-item-picking-applications-in-warehousing-ecommerce-fulfillment-9783030356811","title":"Advances on Robotic Item Picking: Applications in Warehousing \u0026 E-Commerce Fulfillment","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThis book is a compilation of advanced research and applications on robotic item picking and warehouse automation for e-commerce applications. The works in this book are based on results from the Amazon Robotics Challenge from 2015-2017, which focused on fully automated item picking in a warehouse setting. The book covers topics such as grasping and gripper design, vision and other forms of sensing, actuation and robot design, motion planning, optimization, machine learning and artificial intelligence, software engineering, and system integration. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 152 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 09 May 2021\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive book delves into advanced research and practical applications in robotic item picking and warehouse automation for e-commerce purposes. Drawing from the outcomes of the Amazon Robotics Challenge, which ran from 2015 to 2017, the book showcases top solutions developed by 50 participant teams. These solutions address the challenges of time constraints, accuracy, complexity, and other factors inherent in warehouse item picking, a task that has long been considered complex or limited to bin picking or single-item table top picking.\u003cbr\u003e\u003cbr\u003eThe book encompasses a wide range of topics, including grasping and gripper design, vision and sensing technologies, actuation and robot design, motion planning, optimization, machine learning and artificial intelligence, software engineering, and system integration. By presenting these solutions, the authors provide a deep understanding of how robot systems are designed from the ground up to perform specific tasks, such as item picking in a warehouse environment.\u003cbr\u003e\u003cbr\u003eThe compiled works in this book originate from renowned robotics research institutions and companies worldwide, ensuring the highest quality and expertise in the field. Whether you are a researcher, engineer, or industry professional, this book offers valuable insights and practical knowledge for advancing the development of robotic systems in e-commerce applications.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 454g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030356811\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2020\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44102788546810,"sku":"9783030356811","price":66.63,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1646383069764_book.jpg?v=1646985224","url":"https:\/\/shulphink.com\/products\/advances-on-robotic-item-picking-applications-in-warehousing-ecommerce-fulfillment-9783030356811","provider":"Shulph Ink","version":"1.0","type":"link"}