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)

tbd


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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Path planning for everyday robotics with SANDROS

P. Watterberg; P. Xavier; Yong Hwang Proceedings of International Conference on Robotics and Automation, 1997

We discuss the integration of the SANDROS path planner into a general robot simulation and control package with the inclusion of a fast geometry engine for distance calculations. This creates a single system that allows the path to be computed, simulated, and then executed on the physical robot. The architecture and application procedures are presented. Also, we present examples of ...


Scalable ∊-optimal self-organization in communicating swarms using implicit probabilistic automata

Ishanu Chattopadhyay 2012 American Control Conference (ACC), 2012

The problem of scalable near-optimal distributed control of swarms is investigated with emphasis on decentralized ε-optimal path planning to locally sensed targets. The proposed algorithm only uses information that can be locally queried, and rigorous theoretical results on convergence, robustness, scalability are established, and effect of system parameters such as the agent-level communication radius and agent velocities on global performance ...


Fast swept-volume distance for robust collision detection

P. G. Xavier Proceedings of International Conference on Robotics and Automation, 1997

The need for collision detection arises in several robotics areas, including motion-planning, online collision avoidance, and simulation. At the heart of most current methods are algorithms for interference detection and/or distance computation. A few recent algorithms and implementations are very fast, but to use them for accurate collision detection, very small step sizes can be necessary, reducing their effective efficiency. ...


Visual object classification by robots, using on-line, self-supervised learning

Pejman Iravani; Peter Hall; Daniel Beale; Cyril Charron; Yulia Hicks 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011

The challenge addressed in this paper is the classification of visual objects by robots. Visual classification is an active field within Computer Vision, with excellent results achieved recently. However, not all of the advances transfer into the study of robots in free environments; two differences stand out. One is that Computer Vision algorithms often rely on batch learning over a ...


Providing a robot with learning abilities improves its perception by users

Emmanuel Senft; Paul Baxter; James Kennedy; Séverin Lemaignan; Tony Belpaeme 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2016

Subjective appreciation and performance evaluation of a robot by users are two important dimensions for Human-Robot Interaction, especially as increasing numbers of people become involved with robots. As roboticists we have to carefully design robots to make the interaction as smooth and enjoyable as possible for the users, while maintaining good performance in the task assigned to the robot. In ...


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Educational Resources on Robots

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eLearning

Path planning for everyday robotics with SANDROS

P. Watterberg; P. Xavier; Yong Hwang Proceedings of International Conference on Robotics and Automation, 1997

We discuss the integration of the SANDROS path planner into a general robot simulation and control package with the inclusion of a fast geometry engine for distance calculations. This creates a single system that allows the path to be computed, simulated, and then executed on the physical robot. The architecture and application procedures are presented. Also, we present examples of ...


Scalable ∊-optimal self-organization in communicating swarms using implicit probabilistic automata

Ishanu Chattopadhyay 2012 American Control Conference (ACC), 2012

The problem of scalable near-optimal distributed control of swarms is investigated with emphasis on decentralized ε-optimal path planning to locally sensed targets. The proposed algorithm only uses information that can be locally queried, and rigorous theoretical results on convergence, robustness, scalability are established, and effect of system parameters such as the agent-level communication radius and agent velocities on global performance ...


Fast swept-volume distance for robust collision detection

P. G. Xavier Proceedings of International Conference on Robotics and Automation, 1997

The need for collision detection arises in several robotics areas, including motion-planning, online collision avoidance, and simulation. At the heart of most current methods are algorithms for interference detection and/or distance computation. A few recent algorithms and implementations are very fast, but to use them for accurate collision detection, very small step sizes can be necessary, reducing their effective efficiency. ...


Visual object classification by robots, using on-line, self-supervised learning

Pejman Iravani; Peter Hall; Daniel Beale; Cyril Charron; Yulia Hicks 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011

The challenge addressed in this paper is the classification of visual objects by robots. Visual classification is an active field within Computer Vision, with excellent results achieved recently. However, not all of the advances transfer into the study of robots in free environments; two differences stand out. One is that Computer Vision algorithms often rely on batch learning over a ...


Providing a robot with learning abilities improves its perception by users

Emmanuel Senft; Paul Baxter; James Kennedy; Séverin Lemaignan; Tony Belpaeme 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), 2016

Subjective appreciation and performance evaluation of a robot by users are two important dimensions for Human-Robot Interaction, especially as increasing numbers of people become involved with robots. As roboticists we have to carefully design robots to make the interaction as smooth and enjoyable as possible for the users, while maintaining good performance in the task assigned to the robot. In ...


More eLearning Resources

IEEE-USA E-Books

  • References

    In this book, Ronald Day offers a critical history of the modern tradition of documentation. Focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of the French documentalist Suzanne Briet, Day explores the understanding and uses of indexicality. He examines the transition as indexes went from being explicit professional structures that mediated users and documents to being implicit infrastructural devices used in everyday information and communication acts. Doing so, he also traces three epistemic eras in the representation of individuals and groups, first in the forms of documents, then information, then data. Day investigates five cases from the modern tradition of documentation. He considers the socio- technical instrumentalism of Paul Otlet, "the father of European documentation" (contrasting it to the hermeneutic perspective of Martin Heidegger); the shift from documentation to information science and the accompanying transform tion of persons and texts into users and information; social media's use of algorithms, further subsuming persons and texts; attempts to build android robots--to embody human agency within an information system that resembles a human being; and social "big data" as a technique of neoliberal governance that employs indexing and analytics for purposes of surveillance. Finally, Day considers the status of critique and judgment at a time when people and their rights of judgment are increasingly mediated, displaced, and replaced by modern documentary techniques.

  • Index

    In this book, Ronald Day offers a critical history of the modern tradition of documentation. Focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of the French documentalist Suzanne Briet, Day explores the understanding and uses of indexicality. He examines the transition as indexes went from being explicit professional structures that mediated users and documents to being implicit infrastructural devices used in everyday information and communication acts. Doing so, he also traces three epistemic eras in the representation of individuals and groups, first in the forms of documents, then information, then data. Day investigates five cases from the modern tradition of documentation. He considers the socio- technical instrumentalism of Paul Otlet, "the father of European documentation" (contrasting it to the hermeneutic perspective of Martin Heidegger); the shift from documentation to information science and the accompanying transform tion of persons and texts into users and information; social media's use of algorithms, further subsuming persons and texts; attempts to build android robots--to embody human agency within an information system that resembles a human being; and social "big data" as a technique of neoliberal governance that employs indexing and analytics for purposes of surveillance. Finally, Day considers the status of critique and judgment at a time when people and their rights of judgment are increasingly mediated, displaced, and replaced by modern documentary techniques.

  • Control of a Direct-Drive Arm

    A direct-drive arm is a mechanical arm in which the shafts of articulated joints are directly coupled to the rotors of motors with high torque. Since the arm does not contain transmission mechanisms between the motors and their loads, the drive system has no backlash, small friction, and high mechanical stiffness, all of which are desirable for fast, accurate, and versatile robots. First, the prototype robot is described, and basic feedback compensation is discussed . This compensation significantly reduces the effect of interactions among multiple joints and nonlinear forces. The experiments showed the excellent performance of the direct-drive arm in terms of speed and accuracy.

  • Front Matter

    This chapter contains sections titled: Half Title, Intelligent Robots and Autonomous Agents, Title, Copyright, Dedication, Contents, Preface, Acknowledgements, Sources

  • Exoskeletal Robotics for Functional Substitution

    This chapter advocates for considering functional substitution exoskeletal robots (ERs) for rehabilitation during chronic phases of motor disorders. It reviews the technologies that were applied in the past to control the flow of mechanical power and the flow of information between human and robot. The chapter identifies technological bottlenecks in the development of functional substitution ERs. It proposes a way to circumvent this technological limitation might be based on hybrid functional substitution technologies comprising an ER and a motor neuroprosthesis (MNP). In this way, latent motor capabilities of patients can be preserved or even augmented by orchestrating the action of MNPs and ERs in a scheme that seeks to exploit the advantages of each technology. Both ERs and MNPs are technologies that seek to restore or substitute motor function. MNPs constitute an approach to restoring function using artificial control of human muscles or muscle nerves with functional electrical stimulation (FES).

  • A Linkage Design for Direct-Drive Robot Arms

    A new approach to manipulator link mechanism design is presented. Given torque-speed characteristics of actuators and an arm link mechanism, the resultant force-speed characteristics at the tip of the arm arc analyzed. The link mechanism is optimized so that the end point speed and force are within appropriate ranges. This method is applied to a two-degree-of-freedom direct- drive arm. Direct-drive arms, in general, tend to have excessively fast operating ranges, whereas output forces are extremely small. A closed-loop five-bar-link mechanism is applied to the direct-drive arm, and the link dimensions arc optimized in order to acheive appropriate force and speed ranges at the arm tip without using reducers.

  • Index

    No abstract.

  • The Vision of Sociable Robots

    This chapter contains sections titled: Why Sociable Robots?, The Robot, Kismet, Ingredients of Sociable Robots, Book Overview, Summary

  • Design for Joint Torque Sensors and Torque Feedback Control for Direct-Drive Arms

    In a direct-drive arm, motors are directly coupled to their arm linkages without reducers. This eliminates some defects of traditional gearing such as backlash, friction and deflection, and therefore enables the drive system to have improved control accuracy. The D.C. motors used for the direct-drive arm, however, have a significant amount of torque ripples and deadband, which limits the control accuracy, particularly for compliance and force control. In this paper, a method for the torque feedback control of a direct-drive joint is presented. The motor output torque is directly measured by a strain gage sensor built into the motor. It is found that closed loop torque control can compensate for the complicated nonlincaritics and improve the overall control accuracy. First, the design of the torque sensor is presented. The effect of the structural vibration mode which results from the insertion of the flexible torque sensor is analysed, and a design method to place the natural frequency of this mode far above the operating frequencies is shown. Torque feedback control using the sensor is discussed. The sensor design is verified experimentally, and the control performance using direct torque feedback is evaluated.

  • Towards Adaptive Behaviour System Integration using Connectionist Infinite State Automata

    A higher order recurrent connectionist architecture for adaptive control of autonomous robots is introduced in this paper. This architecture, inspired by Pollack's Sequential Cascaded Network, consists of two sub-networks: afunction network for the coupling between sensory inputs and motor outputs, and a context network, which dynamically adapts the function network in order to allow a flexible mapping from percepts to actions.The approach taken here is compared to dynamics and algorithmic approach to autonomous robot control, and it is argued that the above architecture allows an integration of (a) the complex structure and control of behaviour typical for the algorithmic approach, (b) the capacity to utilize systematically continuous state spaces, and (c) the self-organizing learning capacity of connectionist systems with a simple, but powerful mechanism for contextdependent adaptation of behaviour.



Standards related to Robots

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