Conferences related to Robots

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ICASSP 2017 - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2014 - 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    ICASSP 2014 will be the world s largest and most comprehensive technical conference focused on the many facets of signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and oral/poster sessions on the most up-to-date topics in signal processing research.

  • ICASSP 2013 - 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

    The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.

  • ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing

    The latest research results on both theories and applications on signal processing will be presented and discussed among participants from all over the world. Video/Speech Signal processing used in human interface between Robots and Personal users will be highlighted.


2014 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

Theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. Analysis of biological systems from a biomechatronic point of view. Design and fabrication of bio-inspired and biomimetic machines. Robotic and mechatronic devices and systems for prevention, diagnosis, surgery, prosthetics, rehabilitation and personal assistance.

  • 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012)

    Theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. Analysis of biological systems from biomechatronic point of view. Design and fabrication of bio-inspired machines. Robotic and mechatronic devices and systems for prevention, diagnosis, surgery, prosthetics, rehabilitation and personal assistance.

  • 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2010)

    Theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. Analysis of biological systems from a biomechatronic point of view. Design and fabrication of bio-inspired machines and systems for diagnosis, surgery, prosthetics, rehabilitation and personal assistance.

  • 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2008)

    The main focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems, for many different potential applications; and to develop (nano, micro, macro) novel dev

  • 2006 1st IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2006)


2014 IEEE International Conference on Robotics and Automation (ICRA)

Robotics and Automation


2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014)

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2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2013)

Humanoids in the Real World: All related areas of humanoid robotics including locomotion, architectures, mechatronics, control, perception, planning, learning, neuroscience and interaction.


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Periodicals related to Robots

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Intelligent Systems, IEEE

IEEE Intelligent Systems, a bimonthly publication of the IEEE Computer Society, provides peer-reviewed, cutting-edge articles on the theory and applications of systems that perceive, reason, learn, and act intelligently. The editorial staff collaborates with authors to produce technically accurate, timely, useful, and readable articles as part of a consistent and consistently valuable editorial product. The magazine serves software engineers, systems ...


Proceedings of the IEEE

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...


Robotics, IEEE Transactions on

Publishes fundamental papers on all aspects of Robotics, featuring interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, and other fields. Robots and intelligent machines and systems are critical in areas such as industrial applications; service and personal assistants; surgical operations; space, underwater, and remote exploration; entertainment; safety, search, and rescue; military applications; agriculture applications; and intelligent ...




Xplore Articles related to Robots

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Using disparity gradients for robot navigation and registration

R. Burge; J. Mulligan; P. D. Lawrence Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 1998

The problem of robot visual navigation is bound up with the problem of selecting and extracting salient features or landmarks which can guide the robot safely through its environment. In addition for vision based manipulation tasks for mobile robots we must register the position and orientation of objects to be manipulated. In general identifying the ground plane and distinguishing non-planar ...


Wireless obstacle detection and characterization by multimodal helical nanoswimmers

Antoine Barbot; Dominique Decanini; Gilgueng Hwang 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015

Magnetically actuated micro/nano robots are promising to various biological and medical applications in wet environments. In order to improve robots control, robustness and efficiency, real time 3D topographical surface analysis are essential especially for their navigation under such wet and confined environments. In this paper we propose a swimmer from the Roll-To- Swim (RTS) family capable of detecting and characterizing ...


Exploring spherical image properties for robot navigation

I. Fonseca; J. Dias Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 1998

Addresses the problem of performing navigation with a mobile robot using active vision exploring the image sphere properties in a stereo divergent configuration. The navigational process is supported by the control of the robot's steering and forward movements just using visual information as feedback. The steering control solution is based on the difference between signals of visual motion flow computed ...


Research on Turtle Hydrofoil Motion Principle and Bionics

Dinghui Chu; Xiaobai Liu; Mingjun Zhang 2007 IEEE International Conference on Automation and Logistics, 2007

Based on the characteristics of the hydrofoil motion of marine turtle, which has good agility and mobility, the movement principle of the hydrofoil is investigated. Through the image processing method, the eigenvalues of turtle hydrofoil motion in the representative states is extracted, the states of the motion is described and abstractly analyzed, and then two degree of freedom hydrofoil motion ...


Robotic-locomotor training as a tool to reduce neuromuscular abnormality in spinal cord injury: The application of system identification and advanced longitudinal modeling

Mehdi M. Mirbagheri; Matthew Kindig; Xun Niu; Deborah Varoqui; Petra Conaway 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013

In this study, the effect of the LOKOMAT, a robotic-assisted locomotor training system, on the reduction of neuromuscular abnormalities associated with spasticity was examined, for the first time in the spinal cord injury (SCI) population. Twenty-three individuals with chronic incomplete SCI received 1-hour training sessions in the LOKOMAT three times per week, with up to 45 minutes of training per ...


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Educational Resources on Robots

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eLearning

Using disparity gradients for robot navigation and registration

R. Burge; J. Mulligan; P. D. Lawrence Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 1998

The problem of robot visual navigation is bound up with the problem of selecting and extracting salient features or landmarks which can guide the robot safely through its environment. In addition for vision based manipulation tasks for mobile robots we must register the position and orientation of objects to be manipulated. In general identifying the ground plane and distinguishing non-planar ...


Wireless obstacle detection and characterization by multimodal helical nanoswimmers

Antoine Barbot; Dominique Decanini; Gilgueng Hwang 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015

Magnetically actuated micro/nano robots are promising to various biological and medical applications in wet environments. In order to improve robots control, robustness and efficiency, real time 3D topographical surface analysis are essential especially for their navigation under such wet and confined environments. In this paper we propose a swimmer from the Roll-To- Swim (RTS) family capable of detecting and characterizing ...


Exploring spherical image properties for robot navigation

I. Fonseca; J. Dias Proceedings. 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, Practice and Applications (Cat. No.98CH36190), 1998

Addresses the problem of performing navigation with a mobile robot using active vision exploring the image sphere properties in a stereo divergent configuration. The navigational process is supported by the control of the robot's steering and forward movements just using visual information as feedback. The steering control solution is based on the difference between signals of visual motion flow computed ...


Research on Turtle Hydrofoil Motion Principle and Bionics

Dinghui Chu; Xiaobai Liu; Mingjun Zhang 2007 IEEE International Conference on Automation and Logistics, 2007

Based on the characteristics of the hydrofoil motion of marine turtle, which has good agility and mobility, the movement principle of the hydrofoil is investigated. Through the image processing method, the eigenvalues of turtle hydrofoil motion in the representative states is extracted, the states of the motion is described and abstractly analyzed, and then two degree of freedom hydrofoil motion ...


Robotic-locomotor training as a tool to reduce neuromuscular abnormality in spinal cord injury: The application of system identification and advanced longitudinal modeling

Mehdi M. Mirbagheri; Matthew Kindig; Xun Niu; Deborah Varoqui; Petra Conaway 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 2013

In this study, the effect of the LOKOMAT, a robotic-assisted locomotor training system, on the reduction of neuromuscular abnormalities associated with spasticity was examined, for the first time in the spinal cord injury (SCI) population. Twenty-three individuals with chronic incomplete SCI received 1-hour training sessions in the LOKOMAT three times per week, with up to 45 minutes of training per ...


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IEEE-USA E-Books

  • Sensorimotor transformations in the worlds of frogs and robots

    The paper develops a multilevel approach to the design and analysis of systems with "action-oriented perception", situating various robot and animal "designs" in an evolutionary perspective. We present a set of biological design principles within a broader perspective that shows their relevance for robot design. We introduce schemas to provide a coarse-grain analysis of "cooperative computation" in the brains of animals and the "brains" of robots, starting with an analysis of approach, avoidance, detour behavior, and path planning in frogs. An explicit account of neural mechanism of avoidance behavior in the frog illustrates how schemas may be implemented in neural networks. The focus of the rest of the article is on the relation of instinctive to reflective behavior. We generalize an analysis of the interaction of perceptual schemas in the VISIONS system for computer vision to a view of the interaction of perceptual and motor schemas in distributed planning which, we argue, has great promise for integrating mechanisms for action and perception in both animal and robot. We conclude with general observations on the lessons on relating structure and function which can be carried from biology to technology.

  • Epilogue

    Robots today serve in many roles, from entertainer to educator to executioner. As robotics technology advances, ethical concerns become more pressing: Should robots be programmed to follow a code of ethics, if this is even possible? Are there risks in forming emotional bonds with robots? How might society--and ethics--change with robotics? This volume is the first book to bring together prominent scholars and experts from both science and the humanities to explore these and other questions in this emerging field. Starting with an overview of the issues and relevant ethical theories, the topics flow naturally from the possibility of programming robot ethics to the ethical use of military robots in war to legal and policy questions, including liability and privacy concerns. The contributors then turn to human-robot emotional relationships, examining the ethical implications of robots as sexual partners, caregivers, and servants. Finally, they explore the possibility that robots, whether biological-computational hybrids or pure machines, should be given rights or moral consideration. Ethics is often slow to catch up with technological developments. This authoritative and accessible volume fills a gap in both scholarly literature and policy discussion, offering an impressive collection of expert analyses of the most crucial topics in this increasingly important field.

  • No title

    Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from non-expert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus on the unique technical challenges associated with designing robots that learn from naive human teachers. We begin, in the introduction, with a unification of the various terminology seen in the literature as well as an outline of the design choices one has in designing an LfD system. Chapter 2 gives a brief survey of the psychology literature that provides insights from human social learning that are relevant to designing robotic social learners. Chapter 3 walks through an fD interaction, surveying the design choices one makes and state of the art approaches in prior work. First, is the choice of input, how the human teacher interacts with the robot to provide demonstrations. Next, is the choice of modeling technique. Currently, there is a dichotomy in the field between approaches that model low-level motor skills and those that model high-level tasks composed of primitive actions. We devote a chapter to each of these. Chapter 7 is devoted to interactive and active learning approaches that allow the robot to refine an existing task model. And finally, Chapter 8 provides best practices for evaluation of LfD systems, with a focus on how to approach experiments with human subjects in this domain.

  • Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction

    Robots operating in domestic environments need to deal with a variety of different objects. Often, these objects are neither placed randomly, nor independently of each other. For example, objects on a breakfast table such as plates, knives, or bowls typically occur in recurrent configurations. In this paper, we propose a novel hierarchical generative model to reason about latent object constellations in a scene. The proposed model is a combination of a Dirichlet process and beta processes, which allows for a probabilistic treatment of the unknown dimensionality of the parameter space. We show how the model can be employed to address a set of different tasks in scene understanding including unsupervised scene segmentation and completion of partially specified scenes. We describe how to sample from the posterior distribution of the model using Markov chain Monte Carlo (MCMC) techniques and present an experimental evaluation with simulated as well as real-world data obtained with a Kinect camera.

  • Introduction

    This chapter contains sections titled: Historical Perspectives of Robot Design, The Direct-Drive Approach, The State of the Art of Direct-Drive Robots

  • Adaptation to Multiple Robots Organization with Organizational Knowledge on Formation

    This paper extends our organizational learning model by introducing the mechanism of utilizing organizational knowledge to improve the collective performance, and focuses on how this organizational knowledge works for supporting new robots in the process of their adaptation to an organization of multiple robots. Through intensive simulations of truss construction by multiple robots, the following experimental results have suggested: (1) Robots with organizational knowledge complete given tasks in fewer iterations than those without organizational knowledge; (2) The steps with organizational knowledge become fewer as the number of robots increases; and (3) Organizational knowledge enables robots to complete given tasks which cannot be completed without organ izational knowledge.

  • Visual Segmentation of “Simple” Objects for Robots

    The ability to automatically segment a "simple"object of any size from its background is important for an active agent (e.g. a robot) to interact effectively in the real world. Recently, we proposed an algorithm [14] to segment a "simple"object in a scale invariant manner given a point anywhere inside that object. However, we did not provide a strategy to select a point inside a "simple"object in [14]. In this paper, we propose a new system that automatically selects the points inside different "simple"objects in the scene, carries out the segmentation process for the selected points, and outputs only the regions corresponding to the "simple"objects in the scene. The proposed attention mechanism for the segmentation problem utilizes, for the first time, the concept of border ownership [17].

  • The Digital Hormone Model for Self-Organization

    This paper presents the Digital Hormone Model (DHM) as a new computational model for self-organization. The model is a generalization of an earlier distributed control system for self-reconfigurable robots [1-3] and an integration of reaction-diffusion model with stochastic cellular automata. In this model, cells secrete hormones, and hormones diffuse into space and influence the behaviors of other cells to self-organize into global patterns. In contrast to the reaction-diffusion models, cells movements are computed not by the Turing's differential equations [4] hut by stochastic rules that are based on the concentration of hormones in the neighboring space. Different from simulated annealing, the stochastic rules are not the Metropolis rule (5], which will not produce the desired results here. Experimental results have shown that the simulated cells in the DHM produce results that match to the observations made in the biological experiments where homogenous skin cells selforganize into feather buds regulated by hormones [6]. With the unique properties of being distributed, scalable, robust, and adaptive, the DHM opens opportunities for new hypotheses, theories, and experiments for further investigating the nature of self-organization

  • Roboethics: The Applied Ethics for a New Science

    This chapter contains sections titled: 22.1 Robotics, a New Science?, 22.2 The Robotics Ideology, 22.3 Robots and Moral Agency, 22.4 Roboethics, a Work in Progress, 22.5 The Primacy of Principles over Regulations: The Example of Military Robot, 22.6 Conclusion, References

  • On social laws for artificial agent societies: off-line design

    We are concerned with the utility of social laws in a computational environment, laws which guarantee the successful coexistence of multiple programs and programmers. In this paper we are interested in the off-line design of social laws, where we as designers must decide ahead of time on useful social laws. In the first part of this paper we suggest the use of social laws in the domain of mobile robots, and prove analytic results about the usefulness of this approach in that setting. In the second part of this paper we present a general model of social law in a computational system, and investigate some of its properties. This includes a definition of the basic computational problem involved with the design of multi-agent systems, and an investigation of the automatic synthesis of useful social laws in the framework of a model which refers explicitly to social laws.



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