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"The book introduces the main problems, key methods, and milestone results in singularity analysis of mechanisms. It provides a comprehensive and concise overview of basic results while also addressing a few advanced topics of singularities in mechanical systems and robots."

"This book discusses the core principles and practical applications of a brand new machine category: liquid-metal soft machines and motors. After a brief introduction on the conventional soft robot and its allied materials, it presents the new conceptual liquid-metal machine, which revolutionizes existing rigid robots, both large and small. It outlines the typical features of the soft liquid-metal materials and describes the various transformation capabilities, mergence of separate metal droplets, self-rotation and planar locomotion of liquid-metal objects under external or internal mechanism. Further, it introduces a series of unusual phenomena discovered while developing the shape changeable smart soft machine and interprets the related mechanisms regarding the effects of the shape, size, voltage, orientation and geometries of the external fields to control the liquid-metal transformers. Moreover, the book illustrates typical strategies to construct a group of different advanced functional liquid-metal soft machines, since such machines or robots are hard to fabricate using rigid-metal or conventional materials. With highly significant fundamental and practical findings, this book is intended for researchers interested in establishing a general method for making future smart soft machine and accompanying robots."

"Perkembangan teknologi robotika semakin pesat belakangan ini. Keberadaan teknologi Artificial Intelligence (AI) merupakan salah satu faktor yang mendorong perkembangan dari robotika ditambah dengan semakin besarnya kemampuan komputasi dan menurunnya biaya yang diperlukan untuk melakukan komputasi. Robot adalah suatu perangkat yang dapat menggantikan manusia dalam melakukan pekerjaan tertentu. Artificial Intelligence digunakan pada Robot agar dapat melakukan pekerjaan yang membutuhkan kecerdasan seperti melakukan pendeteksian gulma berdasarkan citra dari kamera. Deep Learning dapat digunakan untuk memberikan kemampuan mengekstraksi informasi dari citra sehingga dapat dilakukan tindakan dari adanya informasi tersebut. Jenis neural network yang digunakan harus memiliki kemampuan untuk memahami pola dari gambar dan dapat melokalisasikan setiap objek yang ada beserta dengan jenis objeknya dalam waktu yang cepat. Salah satu arsitektur dengan kemampuan tersebut adalah Single Shot MultiBox Detector (SSD) yang terdapat Convolutional Neural Network (CNN) untuk melakukan ekstraksi informasi dari gambar dan menghasilkan feature map, Convolutional Layer untuk melakukan lokalisasi dan klasifikasi objek dari setiap feature map, dan Non-max Suppression untuk meminimalkan hasil deteksi yang tidak relevan. Sebagai proof-of-concept, pada skripsi ini arsitektur SSD akan digunakan untuk mendeteksi Gulma pada taman kota. Arsitektur SSD digunakan untuk mendeteksi gulma pada gambar beserta dengan posisinya secara real-time. Pada pengujian yang dilakukan, didapatkan Average Precision sebesar 44%. Sedangkan rata-rata waktu komputasi yang diperlukan selama 38.99 milidetik.

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The development of Robotics technology has grown rapidly lately. The existence of Artificial Intelligence (AI) technology is one of the factors that drives the development of Robotic besides the growing computational capacity and the reduced costs required to do computing. Robot is a device that can replace humans in doing certain jobs. Artificial Intelligence is used on Robots to be able to do jobs that require intelligence such as detecting weeds based on images from the camera. Deep Learning can be used to provide the ability to extract information from images so that action can be taken based from obtained information. The type of neural network used must have the ability to understand the pattern of the image and be able to localize every object that exists along with the type of object in limited time. One architecture with this capability is Single Shot Detectors (SSD) where consist of Convolutional Neural Network (CNN) to extract information from images and produce a feature map, Convolutional Layer to localize and classify object within images, and Non-max Suppression to filter not relevant from detected object. As a proof of concept, the SSD architecture will be used for weeds detection in the park. The SSD architecture is used to detect weeds in images along with their position in real-time. In testing, Average Precision score from the model is 44%. The time needed for inference is around 38.99 milliseconds per one image."

"People have dreamed of machines, which would free them from unpleasant, dull, dirty and dangerous tasks and work for them as servants, for centuries if not millennia. Service robots seem to finally let these dreams come true. But where are all these robots that eventually serve us all day long, day for day? A few service robots have entered the market: domestic and professional cleaning robots, lawnmowers, milking robots, or entertainment robots. Some of these robots look more like toys or gadgets rather than real robots. But where is the rest? This is a question, which is asked not only by customers, but also by service providers, care organizations, politicians, and funding agencies. The answer is not very satisfying. Today’s service robots have their problems operating in everyday environments. This is by far more challenging than operating an industrial robot behind a fence. There is a comprehensive list of technical and scientific problems, which still need to be solved. To advance the state of the art in service robotics towards robots, which are capable of operating in an everyday environment, was the major objective of the DESIRE project (Deutsche Service Robotik Initiative – Germany Service Robotics Initiative) funded by the German Ministry of Education and Research (BMBF) under grant no. 01IME01A. This book offers a sample of the results achieved in DESIRE."

"This book presents cutting-edge research papers in the field of Underwater System Technology in Malaysia and Asia in general. The topics covered include intelligent robotics, novel sensor technologies, control algorithms, acoustic signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols. The book showcases some of the latest technologies and applications developed to facilitate local marine exploration and exploitation. It also addresses related topics concerning the Sustainable Development Goals (SDG) outlined by the United Nations. "

"How do minds work? In Exploring Robotic Minds: Actions, Symbols, and Consciousness as Self-Organizing Dynamic Phenomena, Professor Jun Tani reviews key experiments within his own pioneering neurorobotics research project aimed at answering this fundamental and fascinating question. The book shows how symbols and concepts representing the world can emerge via deep learning within robots, by using specially designed neural network architectures by which, given iterative interactions between top-down proactive subjective and intentional processes for plotting action, and bottom-up updates of the perceptual reality after action, the robot is able to learn to isolate, to identify, and even to infer salient features of the operational environment, modifying its behavior based on anticipations of both objective and social cues. Through permutations of this experimental model, the book then argues that longstanding questions about the nature of consciousness and freewill can be addressed through an understanding of the dynamic structures within which, in the course of normal operations and in a changing operational environment, necessary top-down/bottom-up interactions arise. Written in clear and accessible language, this book opens a privileged window for a broad audience onto the science of artificial intelligence and the potential for artificial consciousness, threading cognitive neuroscience, dynamic systems theory, robotics, and phenomenology through an elegant series of deceptively simple experiments that build upon one another and ultimately outline the fundamental form of the working mind."