Rapid Learning in Robotics - Jorg Walter Part 8 ppt
Rapid Learning in Robotics - Jorg Walter Part 8 ppt
... augmenting 729 joint angle vectors on a rectangular 3 3 3 3 3 3grid in joint angle space with the missing –112 Application Examples in the Robotics Domain -4 0 -3 0 -2 0 -1 0010203040 -4 0 -3 0 -2 0 -1 0010203090100110120130140150160xyzr ... three worst cases in the test set(remaining images).Chapter 8 Application Examples in the Robotics DomainAs pointed out before in the introduction, in the robotic domain the avail-ability of sensorimotor ... Application Examples in the Vision Domain7.3 Low Level Vision Domain: a Finger Tip Lo-cation FinderSo far, we have been investigating PSOMs for learning tasks in the contextof well pre-processed data...
- 16
- 244
- 0
Rapid Learning in Robotics - Jorg Walter Part 1 docx
... . . 106 8. 1 [a–d] Kinematic workspace of the TUM robot finger . . . . . 1 08 8.2 [a–e] Training and testing of the finger kinematics PSOM . . 110Jörg A. Walter Rapid Learning in Robotics Robotics ... in Robotics 1Die Deutsche Bibliothek — CIP Data Walter, Jörg Rapid Learning in Robotics / by Jörg Walter, 1st ed.Göttingen: Cuvillier, 1996Zugl.: Bielefeld, Univ., Diss. 1996ISBN 3 -8 9 58 8- 7 2 8- 5 Copyright:c1997, ... . . . . . . . . . . 56J. Walter Rapid Learning in Robotics ixxii LIST OF FIGURESCONTENTS vii 8 Application Examples in the Robotics Domain 107 8. 1 Robot Finger Kinematics . . . . . . . ....
- 16
- 250
- 0
Rapid Learning in Robotics - Jorg Walter Part 2 ppsx
... comply to extra constraints.Chapter 9 turns to the next higher level of one-shot learning. Here the learning of prototypical mappings is used to rapidly adapt a learning sys-tem to new context ... investment learning stage, since effort is invested, to train the system for the second,the one-shot learning phase. Observing the context, the system can nowadapt most rapidly by “mixing” the ... disciplines, and in- cludes also material, engineering, control, and communication sci-ences.The time for gathering training data becomes a major issue. Thisincludes also the time for preparing...
- 16
- 188
- 0
Rapid Learning in Robotics - Jorg Walter Part 3 ppsx
... training examples in a stochastic sequence. Iterative learning is usually more efficient,particularly w.r.t. memory requirements.Off-line versus On-line Learning and Interferences: Off-line learning ... by the so-called “catastrophic inter-ference”, see “on-line learning below.Batch versus Incremental Learning: Calculating the network weight up-dates under consideration of all training examples ... VariablesNeural Networks Learning LearningMachine Learning Sub-symbolic & Fuzzy Learning LearningMathematics Approximation QuantizationStatistics Regression ClassificationEngineering System Identification...
- 16
- 192
- 0
Rapid Learning in Robotics - Jorg Walter Part 4 pdf
... training set, but is performingbadly on the indicated (cross-marked) position.More training data: Over-fitting can be avoided when sufficient trainingpoints are available, e.g. by learning on-line. ... cooperative learning in order to increase speed and ro-bustness of learning, studied e.g. in Walter, Martinetz, and Schulten(1991) and compared to the so-called Neural-Gas Network in Walter (1991) ... achieved by replac-ing the “winner-takes-all” rule (Eq. 3.9) with a “winner-takes-most” or “soft-max” mechanism. For example, by employing Eq. 3.6 in the index spaceof lattice coordinates. Here...
- 16
- 210
- 0
Rapid Learning in Robotics - Jorg Walter Part 6 pot
... training data. The beginning in- folding of the map, e.g.seen at the lower left corner in Fig. 5 .8 demonstrates further that showsmultiple solutions (Eq. 4.4) for finding a best-match in . In ... compared with one single interpolation polynomial in a selected node sub-grid, as described.For the bi-cubic, so-called tensor-product spline is usually com-puted by row-wise spline interpolation ... location ( ) in the map-ping manifold . This is the source of curvature information utilized bythe PSOM to embed a smooth continuous manifold in . However, in certain cases input-output mappings are...
- 16
- 180
- 0
Rapid Learning in Robotics - Jorg Walter Part 9 docx
... Application Examples in the Robotics Domain2. What is the in uence of standard and Chebyshev-spaced samplingof training points inside their working interval? When the data val-ues (here 3 per ... mappings are smooth in certain domains, but non-continuous in others. Then, different types of learning experts, like PSOMs,Meta-PSOMs, LLMs, RBF and others can be chosen. The domain weight-ing ... construct thehigh-dimensional manifold from a small number of training data turns outto be here a many-sided beneficial mechanism for rapid learning. 9.2 “Investment Learning or “Mixture-of-Expertise”...
- 16
- 168
- 0
Rapid Learning in Robotics - Jorg Walter Part 10 pps
... efficient learning modules for the continuous and smooth mapping domain, the“mixture-of-expert” scheme is superior in managing mapping domainswhich require non-continuous or non-smooth interfaces. ... random lo-cations (from within the range of the training set) seen in 10 different1 38 “Mixture-of-Expertise” or “Investment Learning camera setups, from within the square grid of the training positions,located ... emphasizes an important point for the construction of more pow-erful learning systems: in addition to focusing on output value learning, 132 “Mixture-of-Expertise” or “Investment Learning The solution...
- 16
- 213
- 0
Rapid Learning in Robotics - Jorg Walter Part 11 pps
... ReportSFB360-TR-9 6-3 , Universität Bielefeld, D-33615 Bielefeld. Walter, J., H. Ritter, and K. Schulten (1990, June). Non-linear predic-tion with self-organizing maps. In Int. Joint Conf. on ... (1 989 ). Topology-conserving maps for learning visuo-motor-coordination. Neural Net-works 2, 159–1 68. Rosenblatt, F. (1962). Principles of Neurodynamics. Spartan, New York.Rumelhart, D., G. Hinton, ... brain damage. In D. Touretzky (Ed.), NIPS *89 , Volume 2, pp. 5 98 605. Morgan Kauf-mann.J. Walter Rapid Learning in Robotics 147152 BIBLIOGRAPHYMontana, D. and L. Davis (1 989 ). Training feedforward...
- 9
- 332
- 0
rapid learning in robotics jorg walter pot
... training examples in a stochastic sequence. Iterative learning is usually more efficient,particularly w.r.t. memory requirements.Off-line versus On-line Learning and Interferences: Off-line learning ... by the so-called “catastrophic inter-ference”, see “on-line learning below.Batch versus Incremental Learning: Calculating the network weight up-dates under consideration of all training examples ... cooperative learning in order to increase speed and ro-bustness of learning, studied e.g. in Walter, Martinetz, and Schulten(1991) and compared to the so-called Neural-Gas Network in Walter (1991)...
- 169
- 236
- 0
Từ khóa: common erros in english part 8lord of the rings war in the north walkthrough chapter 8 part 4machine learning in actiontoefl cbt book part 8writing template part 8reading upper intermediate part 8teaching academic esl writing part 8kaplan toefl paper and pencil part 8963 bài essays mẫu part 8toefl stucture bank part 8toefl ibt listening e part 8master toefl vocabulary part 8ielts practice test plus part 8ace the toefl essay part 8how to prepare for the toefl part 8Báo cáo quy trình mua hàng CT CP Công Nghệ NPVNghiên cứu sự hình thành lớp bảo vệ và khả năng chống ăn mòn của thép bền thời tiết trong điều kiện khí hậu nhiệt đới việt namNghiên cứu tổ chức chạy tàu hàng cố định theo thời gian trên đường sắt việt namGiáo án Sinh học 11 bài 13: Thực hành phát hiện diệp lục và carôtenôitĐỒ ÁN NGHIÊN CỨU CÔNG NGHỆ KẾT NỐI VÔ TUYẾN CỰ LY XA, CÔNG SUẤT THẤP LPWANĐỒ ÁN NGHIÊN CỨU CÔNG NGHỆ KẾT NỐI VÔ TUYẾN CỰ LY XA, CÔNG SUẤT THẤP LPWANNghiên cứu về mô hình thống kê học sâu và ứng dụng trong nhận dạng chữ viết tay hạn chếNghiên cứu tổng hợp các oxit hỗn hợp kích thƣớc nanomet ce 0 75 zr0 25o2 , ce 0 5 zr0 5o2 và khảo sát hoạt tính quang xúc tác của chúngĐịnh tội danh từ thực tiễn huyện Cần Giuộc, tỉnh Long An (Luận văn thạc sĩ)Thiết kế và chế tạo mô hình biến tần (inverter) cho máy điều hòa không khíKiểm sát việc giải quyết tố giác, tin báo về tội phạm và kiến nghị khởi tố theo pháp luật tố tụng hình sự Việt Nam từ thực tiễn tỉnh Bình Định (Luận văn thạc sĩ)BT Tieng anh 6 UNIT 2Tranh tụng tại phiên tòa hình sự sơ thẩm theo pháp luật tố tụng hình sự Việt Nam từ thực tiễn xét xử của các Tòa án quân sự Quân khu (Luận văn thạc sĩ)Giáo án Sinh học 11 bài 15: Tiêu hóa ở động vậtGiáo án Sinh học 11 bài 15: Tiêu hóa ở động vậtGiáo án Sinh học 11 bài 14: Thực hành phát hiện hô hấp ở thực vậtTrách nhiệm của người sử dụng lao động đối với lao động nữ theo pháp luật lao động Việt Nam từ thực tiễn các khu công nghiệp tại thành phố Hồ Chí Minh (Luận văn thạc sĩ)Chiến lược marketing tại ngân hàng Agribank chi nhánh Sài Gòn từ 2013-2015MÔN TRUYỀN THÔNG MARKETING TÍCH HỢPQUẢN LÝ VÀ TÁI CHẾ NHỰA Ở HOA KỲ