Download or read book Learning Dynamic Systems for Intention Recognition in Human Robot Cooperation written by Peter Krauthausen and published by KIT Scientific Publishing. This book was released on 2014-07-31 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is concerned with intention recognition for a humanoid robot and investigates how the challenges of uncertain and incomplete observations, a high degree of detail of the used models, and real-time inference may be addressed by modeling the human rationale as hybrid, dynamic Bayesian networks and performing inference with these models. The key focus lies on the automatic identification of the employed nonlinear stochastic dependencies and the situation-specific inference.
Download or read book Learning Dynamic Systems for Intention Recognition in Human Robot Cooperation written by Peter Krauthausen and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book From Human intention Recognition to Compliant Control Using Dynamical Systems in Physical Human robot Interaction written by Mahdi Khoramshahi and published by . This book was released on 2019 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mots-clés de l'auteur: Physical human-robot interaction ; intention recognition ; task adaptation ; motion prediction ; compliance and motion control ; dynamical systems ; impedance and admittance control.
Download or read book Computational Intelligence written by Juan Julian Merelo and published by Springer. This book was released on 2018-10-03 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers revised and extended versions of the best papers presented at the 8th International Joint Conference on Computational Intelligence (IJCCI 2016), which was held in Porto, Portugal from 9 to 11 November 2016. The papers address three main fields of Computational Intelligence, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. In addition to highlighting recent advances in these areas, the book offers veteran researchers new and innovative solutions, while also providing a source of information and inspiration for newcomers to the field.
Download or read book Deterministic Sampling for Nonlinear Dynamic State Estimation written by Gilitschenski, Igor and published by KIT Scientific Publishing. This book was released on 2016-04-19 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this work is improving existing and suggesting novel filtering algorithms for nonlinear dynamic state estimation. Nonlinearity is considered in two ways: First, propagation is improved by proposing novel methods for approximating continuous probability distributions by discrete distributions defined on the same continuous domain. Second, nonlinear underlying domains are considered by proposing novel filters that inherently take the underlying geometry of these domains into account.
Download or read book Directional Estimation for Robotic Beating Heart Surgery written by Kurz, Gerhard and published by KIT Scientific Publishing. This book was released on 2015-05-26 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: In robotic beating heart surgery, a remote-controlled robot can be used to carry out the operation while automatically canceling out the heart motion. The surgeon controlling the robot is shown a stabilized view of the heart. First, we consider the use of directional statistics for estimation of the phase of the heartbeat. Second, we deal with reconstruction of a moving and deformable surface. Third, we address the question of obtaining a stabilized image of the heart.
Download or read book Optimal Sequence Based Control of Networked Linear Systems written by Fischer, Joerg and published by KIT Scientific Publishing. This book was released on 2015-01-12 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Networked Control Systems (NCS), components of a control loop are connected by data networks that may introduce time-varying delays and packet losses into the system, which can severly degrade control performance. Hence, this book presents the newly developed S-LQG (Sequence-Based Linear Quadratic Gaussian) controller that combines the sequence-based control method with the well-known LQG approach to stochastic optimal control in order to compensate for the network-induced effects.
Download or read book Linear Estimation in Interconnected Sensor Systems with Information Constraints written by Reinhardt, Marc and published by KIT Scientific Publishing. This book was released on 2015-04-15 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: A ubiquitous challenge in many technical applications is to estimate an unknown state by means of data that stems from several, often heterogeneous sensor sources. In this book, information is interpreted stochastically, and techniques for the distributed processing of data are derived that minimize the error of estimates about the unknown state. Methods for the reconstruction of dependencies are proposed and novel approaches for the distributed processing of noisy data are developed.
Download or read book State Estimation for Distributed Systems with Stochastic and Set membership Uncertainties written by Noack, Benjamin and published by KIT Scientific Publishing. This book was released on 2014-01-02 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: State estimation techniques for centralized, distributed, and decentralized systems are studied. An easy-to-implement state estimation concept is introduced that generalizes and combines basic principles of Kalman filter theory and ellipsoidal calculus. By means of this method, stochastic and set-membership uncertainties can be taken into consideration simultaneously. Different solutions for implementing these estimation algorithms in distributed networked systems are presented.
Download or read book Tracking Extended Objects in Noisy Point Clouds with Application in Telepresence Systems written by Faion, Florian and published by KIT Scientific Publishing. This book was released on 2016-09-13 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: We discuss theory and application of extended object tracking. This task is challenging as sensor noise prevents a correct association of the measurements to their sources on the object, the shape itself might be unknown a priori, and due to occlusion effects, only parts of the object are visible at a given time. We propose an approach to track the parameters of arbitrary objects, which provides new solutions to the above challenges, and marks a significant advance to the state of the art.
Download or read book Intraoperative Planning and Execution of Arbitrary Orthopedic Interventions Using Handheld Robotics and Augmented Reality written by Klemm, Martin and published by KIT Scientific Publishing. This book was released on 2018-11-23 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Simultaneous Tracking and Shape Estimation of Extended Objects written by Baum, Marcus and published by KIT Scientific Publishing. This book was released on 2014-07-30 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work is concerned with the simultaneous tracking and shape estimation of a mobile extended object based on noisy sensor measurements. Novel methods are developed for coping with the following two main challenges: i) The computational complexity due to the nonlinearity and high-dimensionality of the problem, and ii) the lack of statistical knowledge about possible measurement sources on the extended object.
Download or read book Haptic Guidance for Extended Range Telepresence written by Antonia Pérez Arias and published by KIT Scientific Publishing. This book was released on 2014-05-22 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: A novel navigation assistance for extended range telepresence is presented. The haptic information from the target environment is augmented with guidance commands to assist the user in reaching desired goals in the arbitrarily large target environment from the spatially restricted user environment. Furthermore, a semi-mobile haptic interface was developed, one whose lightweight design and setup configuration atop the user provide for an absolutely safe operation and high force display quality.
Download or read book Tracking Extended Objects with Active Models and Negative Measurements written by Zea Cobo, Antonio Kleber and published by KIT Scientific Publishing. This book was released on 2019-04-09 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multitarget Tracking Using Orientation Estimation for Optical Belt Sorting written by Pfaff, Florian and published by KIT Scientific Publishing. This book was released on 2019-10-31 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Human Robot Interaction written by Daisuke Chugo and published by BoD – Books on Demand. This book was released on 2010-02-01 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human-robot interaction (HRI) is the study of interactions between people (users) and robots. HRI is multidisciplinary with contributions from the fields of human-computer interaction, artificial intelligence, robotics, speech recognition, and social sciences (psychology, cognitive science, anthropology, and human factors). There has been a great deal of work done in the area of human-robot interaction to understand how a human interacts with a computer. However, there has been very little work done in understanding how people interact with robots. For robots becoming our friends, these studies will be required more and more.
Download or read book Methods for Imitation Learning and Human Intention Inference Towards Seamless Human Robot Collaboration written by Harish Ravichandar and published by . This book was released on 2018 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robots are becoming integral parts of our environments, from factory floors to hospitals, and all the way to our homes. Unlike robots enclosed in cages performing repetitive tasks with high precision, there is an ever-increasing need for robots that can seamlessly interact and collaborate with humans in close proximity. Hence, it is imperative that robots are provided with the tools necessary to both safely and efficiently collaborate with their human partners. For achieving safe and efficiently human-robot collaboration, methods to infer humans intentions and methods for quick robot programming are required. To this end, this dissertation presents methods that fall into two categories. The first category consists of methods to infer humans intentions (modeled as goal locations of reaching motions) from noisy observations of humans motion. First, a maximum likelihood estimator for the early prediction of reaching goal location is presented. Second, a maximum a-posteriori estimator, that uses information about the human eye gaze to construct the prior distribution, is presented. The second category consists of imitation learning methods to learn movement primitives from demonstrations. These methods are particularly useful to teach robots new tasks by showing of examples. In the proposed methods, movement primitives are represented as statistical dynamical systems and the corresponding parameters are learned under constraints developed based on contraction analysis. Enforcement of these constraints provides theoretical guarantees on the learned model, such as convergence to the desired end-effector position and orientation, and robustness to sudden perturbations and target changes. The methods presented in this dissertation are rigorously tested using experiments conducted by observing human motion and using a 7 DOF dual-arm Baxter robot.
