Robotic Bin Picking For Potentially Tangled Objects
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Robotic Bin Picking for Potentially Tangled Objects
This book introduces methods for bin picking in manufacturing. These methods can be used to develop unified, dexterous, and robust bin picking systems for entangled objects. The target objects include both rigid and deformable objects. Robotic bin picking is a valuable task in manufacturing, aiming to automate the assembly process by utilizing robots to pick necessary objects from disorganized bins. Previous studies have addressed various challenges related to bin picking. However, when objects with complex shapes or deformable properties are randomly placed in a bin, they tend to get entangled, making it difficult for the robot to pick up individual items. This poses challenges in perception, as the robot must be capable of distinguishing between isolated objects and potentially tangled ones in a cluttered environment. This book is of interest to students, researchers, and professionals in manufacturing industries.
Experimental Robotics
This book presents scientific and practical developments in the emerging trends of human-centric robotics in unstructured environments, covering Human–Robot Collaboration, Mobile Robotics and Manipulation, Field Robotics, Aerial Robotics, Humanoids, and Autonomous Driving. It offers insights into the latest scientific and technological development in robot–human interactions, advanced autonomy, and robust designs for real-world applications. This edition's approach is characterized by strong scientific developments backed by practical applications, offering detailed case studies and experimental data that support the theoretical foundations of robotic technology. By emphasizing the application side of research, it encourages readers to consider not only, theoretical advancements in robotics but also the implications and opportunities for real-world integration.
Advances in Automotive Production Technology – Towards Software-Defined Manufacturing and Resilient Supply Chains
This volume of the series ARENA2036 compiles the outcome of the 2nd Stuttgart Conference on Automotive Production (SCAP2022). The peer-reviewed contributions in this book are arranged thematically in three parts and cover a wide variety of topics: (A) Software-defined Manufacturing, (B) Data-driven Technologies, and (C) Advanced Manufacturing and Sustainability. SCAP2022 was organized by ARENA2036 in close collaboration with the Institute for Control Engineering of Machine Tools and Manufacturing Units of the University of Stuttgart. The Conference took place on site from November 16 - 18, 2022 and provided the opportunity for national and international scientists to present their latest research results. The conference has taken another big step in becoming an established forum for topics related to the production of the future. The great success of this year's conference will be continued with the next SCAP in 2024 with new forward-looking topics. This is an open access book.