Robot Robusta

Library of Congress Subject Headings

Sustainable Green Conversion

This book contains the first volume of selected papers from International Symposium for Production Research 2024, held on October 10–12, 2024, in Budva, Montenegro. The book reports recent advances in production engineering and operations. This year's conference had the overarching theme of "Sustainable Green Conversion." The book explores topics including: Invited Articles, Artificial Intelligence Applications, Industrial Applications, Industry 4.0 and Industry 5.0 Applications, Operations Research Applications, Production Management, Productivity and Performance Management and Quality Management. Presenting real-life applications, case studies, and mathematical models, this book is of interest to researchers, academics, and practitioners in the field of production and operation engineering. It provides both the results of recent research and practical solutions to real-world problems.

Tree Climbing Robot

Climbing robot is a challenging research topic that has gained much attention from researchers. Most of the robots reported in the literature are designed to climb on manmade structures, but seldom robots are designed for climbing natural environment such as trees. Trees and manmade structures are very different in nature. It brings different aspects of technical challenges to the robot design. In this book, you can find a collection of the cutting edge technologies in the field of tree-climbing robot and the ways that animals climb. It provides a valuable reference for robot designers to select appropriate climbing methods in designing tree-climbing robots for specific purposes. Based on the study, a novel bio-inspired tree-climbing robot with several breakthrough performances has been developed and presents in this book. It is capable of performing various actions that is impossible in the state-of-the-art tree-climbing robots, such as moving between trunk and branches. This book also proposes several approaches in autonomous tree-climbing, including the sensing methodology, cognition of the environment, path planning and motion planning on both known and unknown environment.