標(biāo)題: Titlebook: Making Robots Smarter; Combining Sensing an Katharina Morik,Michael Kaiser,Volker Klingspor Book 1999 Springer Science+Business Media New Y [打印本頁(yè)] 作者: 延展 時(shí)間: 2025-3-21 18:06
書(shū)目名稱(chēng)Making Robots Smarter影響因子(影響力)
作者: 蒙太奇 時(shí)間: 2025-3-21 22:54 作者: Receive 時(shí)間: 2025-3-22 00:47
Introduction to Skill Learnings that map robot perceptions directly onto robot actions by means of a strategy (a control function or policy, resp.) that is goal-oriented. Examples of such elementary skills are force control, peg-into-hole insertion, navigation through a door,targeted parameterization of an active sensor system, et cetera.作者: 不能約 時(shí)間: 2025-3-22 06:24 作者: TIGER 時(shí)間: 2025-3-22 11:44 作者: antidote 時(shí)間: 2025-3-22 14:35
Learning Sensor-Based Navigation or the effect of its actions, and learns on-line using only raw sensory data collected as it moves. The experimental results show that a few trials suffice for the robot to navigate efficiently in a real environment of moderate complexity.作者: 的染料 時(shí)間: 2025-3-22 17:04 作者: 謙卑 時(shí)間: 2025-3-22 23:03
Learning To Classifyation problem are outlined. Then we will present the methods and tools that were developed in the context of the work that was being done, namely the pattern recognition toolbox . and the supervised learning algorithm Q*. Finally we will apply the results of the previous theories in the context of Machine tool supervision.作者: committed 時(shí)間: 2025-3-23 03:51
Program Optimization for Real-Time Performancehat speed up its evaluation. These are a program transformation method, a compilation method, and an efficient forward inference method. The latter is part of a performance system capable of inferring high-level concepts from the sensory input of a mobile robot on-line and in real time.作者: Arbitrary 時(shí)間: 2025-3-23 07:11
Contact Estimation for Compliant Motion Controlcribes how this sensory information can be used in an assembly fine-motion planner and also during task execution; two approaches, one analytical and the other learning approaches, are presented and compared.作者: SEEK 時(shí)間: 2025-3-23 12:33
Learning a Taxonomy of Failures in Assemblyability to handle both numerical and symbolic data. Experimental results, obtained by running SKIL and other algorithms with training data, collected in a real assembly cell, are described in detail. The importance of example generation and processing methods, including example interpolation and feature construction, is also stressed.作者: 同時(shí)發(fā)生 時(shí)間: 2025-3-23 15:55 作者: 無(wú)畏 時(shí)間: 2025-3-23 20:47
ty of industries with case studies.Explains how to create va.This book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries. It will guide you through the fundamentals of technical decision making, including planning, build作者: GROG 時(shí)間: 2025-3-24 00:32 作者: Facet-Joints 時(shí)間: 2025-3-24 03:14
C. Baroglio,A. Giordana,R. Piolansistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness...The book delves into this engineering discipline‘s aspects and components and explores best practices and case studies. Adopting MLOps re作者: 充足 時(shí)間: 2025-3-24 07:03 作者: 令人心醉 時(shí)間: 2025-3-24 11:04 作者: 集聚成團(tuán) 時(shí)間: 2025-3-24 15:07
R. Suárez,L. Basa?ez,J. Rosellunique book you can dip in and out of, humorous and irrevereThis is an astonishing collection of ideas, information, and instruction from one of the true pioneers of Massively-Multiplayer Online Role-Playing Games. .MMOs from the Inside Out: The History, Design, Fun, and Art of Massively-Multiplayer作者: VEIL 時(shí)間: 2025-3-24 22:49 作者: 音樂(lè)等 時(shí)間: 2025-3-25 01:59
M. Accameunique book you can dip in and out of, humorous and irrevereThis is an astonishing collection of ideas, information, and instruction from one of the true pioneers of Massively-Multiplayer Online Role-Playing Games. .MMOs from the Inside Out: The History, Design, Fun, and Art of Massively-Multiplayer作者: 尾巴 時(shí)間: 2025-3-25 06:07 作者: Geyser 時(shí)間: 2025-3-25 08:05
M. Kaiser,H. Friedrich,V. Klingspor,K. Morikof Massively-Multiplayer Online Role-Playing Games. Whereas its predecessor looked at how MMOs can change the world, .MMOs from the Outside In: How Psychology, Law, Culture and Real Life see Massively-Multiplayer Role-playing Games. looks at how the world can change MMOs – and not always for the bet作者: 集中營(yíng) 時(shí)間: 2025-3-25 11:50
T. Rauber,M. Barataof Massively-Multiplayer Online Role-Playing Games. Whereas its predecessor looked at how MMOs can change the world, .MMOs from the Outside In: How Psychology, Law, Culture and Real Life see Massively-Multiplayer Role-playing Games. looks at how the world can change MMOs – and not always for the bet作者: Arroyo 時(shí)間: 2025-3-25 19:07 作者: 使腐爛 時(shí)間: 2025-3-25 21:14 作者: 條街道往前推 時(shí)間: 2025-3-26 03:38
V. Klingspor,K. Morikce new challenges to meet customer demands including greater flexibility, a wider range of products, higher quality, improved lead time, whilst maintaining _c.ompetitive prices. The changes manifest in each company will differ but, the trend is towards providing a leaner, more responsive organisatio作者: 個(gè)人長(zhǎng)篇演說(shuō) 時(shí)間: 2025-3-26 07:41 作者: 積習(xí)已深 時(shí)間: 2025-3-26 08:43 作者: elucidate 時(shí)間: 2025-3-26 16:12
Learning Function Approximatorsples of execution of a task. The class of function approximators used, . networks, is characterized and compared to other kinds of function approximators. In particular, a way for giving a symbolic interpretation to its members, a key to the application of Machine Learning, is shown.作者: 夾克怕包裹 時(shí)間: 2025-3-26 20:34
Learning and Re-Calibration in Flexible Assembly require fast and autonomous re-calibration procedures — and learning approaches offer several appealing advantages. Several aspects which are relevant for industrial assembly are taken into account in the presented experiments: (1) use of real-world objects, in this case a light switch, (2) assembl作者: Rct393 時(shí)間: 2025-3-26 21:08 作者: gusher 時(shí)間: 2025-3-27 03:48 作者: Fabric 時(shí)間: 2025-3-27 08:56 作者: Triglyceride 時(shí)間: 2025-3-27 11:54 作者: 創(chuàng)作 時(shí)間: 2025-3-27 16:13 作者: Chronological 時(shí)間: 2025-3-27 18:01 作者: 官僚統(tǒng)治 時(shí)間: 2025-3-27 22:27
Incremental Signal to Symbol Processingsulting descriptors form the language for the examples of further learning. Second, it is a prerequisite for higher-level planning. The planning component uses the resulting descriptors instead of the numerical sensor measurements. Hence, the signal to symbol processing bridges the gap between numer作者: 騎師 時(shí)間: 2025-3-28 02:57
Learning Understandable Concepts for Robot Navigatione. Service robots are not autonomous, but this does not mean that they can do without intelligence. They need intelligence in order to convert high-level human commands into their internal procedures and to adapt their execution to the actual environment. The concepts in commands and plans must be a作者: harbinger 時(shí)間: 2025-3-28 08:28
Program Optimization for Real-Time Performanceesented by a logic program that contains learned relational rules. In order to operationalize this knowledge we develop program optimization methods that speed up its evaluation. These are a program transformation method, a compilation method, and an efficient forward inference method. The latter is作者: absorbed 時(shí)間: 2025-3-28 12:07 作者: 高歌 時(shí)間: 2025-3-28 17:00
978-1-4613-7388-9Springer Science+Business Media New York 1999作者: 非實(shí)體 時(shí)間: 2025-3-28 18:50 作者: 追逐 時(shí)間: 2025-3-29 01:26
Learning Sensor Assisted Assembly OperationsThis section illustrates how a force controlled assembly operation can be learnt by following a reinforcement learning approach. Two experiments are presented where the robot’s task is to insert a peg into a hole. These experiments are an example of model-free skill refinement.作者: 刀鋒 時(shí)間: 2025-3-29 04:39
http://image.papertrans.cn/m/image/621712.jpg作者: 擺動(dòng) 時(shí)間: 2025-3-29 09:57
s you’re likely to encounter, as well as best practices for deploying accurate, extensible, scalable, and reliable models. Through hands-on labs, you will build your own MLOps “toolkit” that you can use to acce978-1-4842-9641-7978-1-4842-9642-4作者: 使激動(dòng) 時(shí)間: 2025-3-29 12:33 作者: EXTOL 時(shí)間: 2025-3-29 19:38
M. Accamee Inside Out. is for people with a spark of creativity: it pours gasoline on that spark..It:.Explains what MMOs are, what they once were, and what they could – and should – become..Delves into why players play,978-1-4842-1723-8978-1-4842-1724-5作者: inquisitive 時(shí)間: 2025-3-29 22:57 作者: 上流社會(huì) 時(shí)間: 2025-3-30 00:59 作者: Inelasticity 時(shí)間: 2025-3-30 04:53
test for how much value your models are creating in production. We will also discuss how the rise of generative AI may impact data science development in general, build a CI/CD pipeline for our toolkit, and talk about how we can use pre-build cloud services to deploy your models. Without further ado作者: gusher 時(shí)間: 2025-3-30 11:33 作者: 關(guān)心 時(shí)間: 2025-3-30 15:25 作者: 沒(méi)血色 時(shí)間: 2025-3-30 18:33
M. Nuttin,H. Van Brusselso presents mini-indexes, which make the programs much easier to understand..A corrected reprint of the book has been published in August 2014,?replacing the version of 1999..978-3-540-66938-8978-3-540-46611-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
