標(biāo)題: Titlebook: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots; Jürgen Sturm Book 2013 Springer-Verlag Berlin Heidelberg 2013 A [打印本頁] 作者: GLAZE 時間: 2025-3-21 18:49
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots影響因子(影響力)
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots影響因子(影響力)學(xué)科排名
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots網(wǎng)絡(luò)公開度
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots被引頻次
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots被引頻次學(xué)科排名
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots年度引用
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots年度引用學(xué)科排名
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots讀者反饋
書目名稱Approaches to Probabilistic Model Learning for Mobile Manipulation Robots讀者反饋學(xué)科排名
作者: Circumscribe 時間: 2025-3-21 20:50
978-3-642-43714-4Springer-Verlag Berlin Heidelberg 2013作者: condescend 時間: 2025-3-22 01:01 作者: hallow 時間: 2025-3-22 06:44
Springer Tracts in Advanced Roboticshttp://image.papertrans.cn/b/image/160323.jpg作者: 側(cè)面左右 時間: 2025-3-22 11:22 作者: Glaci冰 時間: 2025-3-22 13:28 作者: 平靜生活 時間: 2025-3-22 18:01
https://doi.org/10.1007/978-3-658-02802-2eld of machine learning in general can be found in the books of Bishop (2007) and MacKay (2003). This chapter starts with a review of common machine learning techniques for regression, classification, dimensionality reduction, and clustering problems. To compare and rank alternative models, we prese作者: cunning 時間: 2025-3-23 00:25
https://doi.org/10.1007/978-3-658-02800-8ly specified by the position of its joints, and the size and orientation of its links (Craig, 1989; Sciavicco and Siciliano, 2000). Kinematic models are usually derived analytically by a robot engineer and thus rely heavily on prior knowledge about the geometry of the robot. When such a model is app作者: micronutrients 時間: 2025-3-23 01:59
Das Aktivierungspotential der Headline these objects are articulated such as cabinet doors and drawers, or room and garage doors. The ability to deal with such . is relevant for service robots, as, for example, they need to open doors when navigating between rooms and to open cabinets to pick up objects in fetch-and-carry applications.作者: Spina-Bifida 時間: 2025-3-23 06:30 作者: 稀釋前 時間: 2025-3-23 11:33 作者: Leisureliness 時間: 2025-3-23 14:07
Meyer-Hentschel Management Consultingd object. To recognize the object, the robot acquired . tactile images after grasping was complete. In contrast to this, we focus in this chapter on features that describe the . in the tactile response while the robot is grasping or manipulating an object. As we will show, the dynamic components of 作者: 芳香一點 時間: 2025-3-23 20:05 作者: atopic-rhinitis 時間: 2025-3-23 22:35 作者: overweight 時間: 2025-3-24 02:55 作者: precede 時間: 2025-3-24 09:30 作者: 罵人有污點 時間: 2025-3-24 11:08 作者: syncope 時間: 2025-3-24 16:05
Introduction,gnificant competitive advantage. The goal of this book is to present novel approaches that enable mobile manipulation robots to be flexibly used in everyday life. The challenge in these applications is that robots operating in unstructured environments have to cope with less prior knowledge about th作者: 胡言亂語 時間: 2025-3-24 19:11 作者: octogenarian 時間: 2025-3-25 02:42
https://doi.org/10.1007/978-3-658-13005-3gnificant competitive advantage. The goal of this book is to present novel approaches that enable mobile manipulation robots to be flexibly used in everyday life. The challenge in these applications is that robots operating in unstructured environments have to cope with less prior knowledge about th作者: Ischemic-Stroke 時間: 2025-3-25 03:45
https://doi.org/10.1007/978-3-658-02800-8tion nor costly calibration equipment. This capability does not only facilitate the deployment and calibration of new robotic systems but also enables robots to autonomously adapt their models when the kinematics change, for example, as a result of hardware failures or material fatigue. Furthermore,作者: 滲透 時間: 2025-3-25 07:37
1610-7438 nt in which the robot is operating, (3) using tactile feedback to augment the visual perception, and (4) learning novel manipulation tasks from human demonstrations..This book is an ideal resource for postgradu978-3-642-43714-4978-3-642-37160-8Series ISSN 1610-7438 Series E-ISSN 1610-742X 作者: 打算 時間: 2025-3-25 14:37
Book 2013ing actuation and visual feedback, (2) learning about articulated objects in the environment in which the robot is operating, (3) using tactile feedback to augment the visual perception, and (4) learning novel manipulation tasks from human demonstrations..This book is an ideal resource for postgradu作者: 百科全書 時間: 2025-3-25 16:58
Introduction,t impact on our economy and society in the future. Mobile manipulation robots that are equipped with one or more gripper arms could fulfill various useful services in private homes such as cleaning, tidying up, or cooking, which would mean a significant time benefit to their owners. By supporting el作者: 含糊 時間: 2025-3-25 19:58
Basics,eld of machine learning in general can be found in the books of Bishop (2007) and MacKay (2003). This chapter starts with a review of common machine learning techniques for regression, classification, dimensionality reduction, and clustering problems. To compare and rank alternative models, we prese作者: Constant 時間: 2025-3-26 03:14 作者: 不能約 時間: 2025-3-26 05:15 作者: 光亮 時間: 2025-3-26 09:45
Vision-Based Perception of Articulated Objects,As input, our framework requires a sequence of pose observations of the articulated object. We implemented the perception in the previous chapter using visual markers or by directly recording the end effector trajectory while the robot was manipulating the articulated object. For the daily use in do作者: 難管 時間: 2025-3-26 16:24
Object Recognition Using Tactile Sensors,example, a robot that picks up an object from a box cannot see which object it grasps because the robot partially occludes its view with its own gripper. In particular for robotic manipulation tasks, tactile sensing provides another sensor modality that can reveal relevant aspects about the object b作者: 脊椎動物 時間: 2025-3-26 17:41 作者: accrete 時間: 2025-3-26 22:55
Learning Manipulation Tasks by Demonstration,tential tasks of a manipulation robot beforehand. For example, robotic assistants operating in industrial contexts are frequently faced with changes in the production process. As a consequence, novel manipulation skills become relevant on a regular basis. For this reason, there is a need for solutio作者: DAMN 時間: 2025-3-27 02:35 作者: 朦朧 時間: 2025-3-27 05:34 作者: hangdog 時間: 2025-3-27 11:10
https://doi.org/10.1007/978-3-658-02802-2nt in Section 2.2 several measures to evaluate the quality of a model and to select the best one. Finally, we introduce in Section 2.3 Bayesian networks as a tool to factorize high-dimensional learning problems into independent components.作者: minion 時間: 2025-3-27 14:17 作者: nutrition 時間: 2025-3-27 20:34 作者: QUAIL 時間: 2025-3-27 23:45 作者: 乞丐 時間: 2025-3-28 05:05
https://doi.org/10.1007/978-3-322-82883-5er. In particular for robotic manipulation tasks, tactile sensing provides another sensor modality that can reveal relevant aspects about the object being manipulated, for example, to infer its identity, pose, and internal state.作者: pineal-gland 時間: 2025-3-28 08:04
Meyer-Hentschel Management Consultingn the production process. As a consequence, novel manipulation skills become relevant on a regular basis. For this reason, there is a need for solutions that enable normal users to quickly and intuitively teach new manipulation skills to a robot.作者: HATCH 時間: 2025-3-28 11:00
Meyer-Hentschel Management Consultingquire that robots function robustly in new situations while they are dealing with considerable amounts of noise and uncertainty. Therefore, the main objective of this work was to develop novel approaches that enable manipulation robots to autonomously acquire the models they need to successfully implement their service tasks.作者: Vsd168 時間: 2025-3-28 18:15
Object Recognition Using Tactile Sensors,er. In particular for robotic manipulation tasks, tactile sensing provides another sensor modality that can reveal relevant aspects about the object being manipulated, for example, to infer its identity, pose, and internal state.作者: Delirium 時間: 2025-3-28 22:17
Learning Manipulation Tasks by Demonstration,n the production process. As a consequence, novel manipulation skills become relevant on a regular basis. For this reason, there is a need for solutions that enable normal users to quickly and intuitively teach new manipulation skills to a robot.作者: Ligament 時間: 2025-3-29 02:05 作者: cognizant 時間: 2025-3-29 03:12 作者: BILE 時間: 2025-3-29 08:31 作者: crescendo 時間: 2025-3-29 12:39
Object State Estimation Using Tactile Sensors,the tactile signal can be used to infer several aspects of the internal state of an object. For example, these features allow a robot to detect whether a grasped bottle contains liquid and whether its cap has been properly closed. This information is highly relevant for domestic robots that fulfill service tasks such as tidying up.作者: Limousine 時間: 2025-3-29 18:25
10樓作者: 免費 時間: 2025-3-29 23:30
10樓
