The Experts below are selected from a list of 186 Experts worldwide ranked by ideXlab platform
Omar A.islas Ramirez - One of the best experts on this subject based on the ideXlab platform.
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RO-MAN - Potential Human Reaction aware mobile robot motion planner: Potential cost minimization framework
The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014Co-Authors: Hao Li, Omar A.islas Ramirez, Mohamed ChetouaniAbstract:Robots have been stepping steadily into our daily-life. As Humans are likely to exist in daily-life scenarios, “Human-aware” becomes an essential point for robot navigation in these scenarios. Existing research works on Human aware robot navigation rarely take potential Human Reaction into account in the motion planner. In contrast, we propose in this paper the concept of potential Human Reaction aware motion planner (PHRAMP), i.e. the robot had better take potential Human Reaction into account in its motion planning. We propose a general methodology coined as the potential cost minimization (PCM) framework for realizing PHRAMPs. We present some theoretical characteristics of this framework and explain its relationship with existing methods. We describe an instantiation of the PCM framework which serves as a concrete example PHRAMP to demonstrate the utility and advantage of the PCM framework.
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Potential Human Reaction aware mobile robot motion planner: Potential cost minimization framework
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2014Co-Authors: Hao Li, Omar A.islas RamirezAbstract:© 2014 IEEE. Robots have been stepping steadily into our daily-life. As Humans are likely to exist in daily-life scenarios, 'Human-aware' becomes an essential point for robot navigation in these scenarios. Existing research works on Human aware robot navigation rarely take potential Human Reaction into account in the motion planner. In contrast, we propose in this paper the concept of potential Human Reaction aware motion planner (PHRAMP), i.e. the robot had better take potential Human Reaction into account in its motion planning. We propose a general methodology coined as the potential cost minimization (PCM) framework for realizing PHRAMPs. We present some theoretical characteristics of this framework and explain its relationship with existing methods. We describe an instantiation of the PCM framework which serves as a concrete example PHRAMP to demonstrate the utility and advantage of the PCM framework.
Hao Li - One of the best experts on this subject based on the ideXlab platform.
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RO-MAN - Potential Human Reaction aware mobile robot motion planner: Potential cost minimization framework
The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014Co-Authors: Hao Li, Omar A.islas Ramirez, Mohamed ChetouaniAbstract:Robots have been stepping steadily into our daily-life. As Humans are likely to exist in daily-life scenarios, “Human-aware” becomes an essential point for robot navigation in these scenarios. Existing research works on Human aware robot navigation rarely take potential Human Reaction into account in the motion planner. In contrast, we propose in this paper the concept of potential Human Reaction aware motion planner (PHRAMP), i.e. the robot had better take potential Human Reaction into account in its motion planning. We propose a general methodology coined as the potential cost minimization (PCM) framework for realizing PHRAMPs. We present some theoretical characteristics of this framework and explain its relationship with existing methods. We describe an instantiation of the PCM framework which serves as a concrete example PHRAMP to demonstrate the utility and advantage of the PCM framework.
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Potential Human Reaction aware mobile robot motion planner: Potential cost minimization framework
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2014Co-Authors: Hao Li, Omar A.islas RamirezAbstract:© 2014 IEEE. Robots have been stepping steadily into our daily-life. As Humans are likely to exist in daily-life scenarios, 'Human-aware' becomes an essential point for robot navigation in these scenarios. Existing research works on Human aware robot navigation rarely take potential Human Reaction into account in the motion planner. In contrast, we propose in this paper the concept of potential Human Reaction aware motion planner (PHRAMP), i.e. the robot had better take potential Human Reaction into account in its motion planning. We propose a general methodology coined as the potential cost minimization (PCM) framework for realizing PHRAMPs. We present some theoretical characteristics of this framework and explain its relationship with existing methods. We describe an instantiation of the PCM framework which serves as a concrete example PHRAMP to demonstrate the utility and advantage of the PCM framework.
Mohamed Chetouani - One of the best experts on this subject based on the ideXlab platform.
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RO-MAN - Potential Human Reaction aware mobile robot motion planner: Potential cost minimization framework
The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014Co-Authors: Hao Li, Omar A.islas Ramirez, Mohamed ChetouaniAbstract:Robots have been stepping steadily into our daily-life. As Humans are likely to exist in daily-life scenarios, “Human-aware” becomes an essential point for robot navigation in these scenarios. Existing research works on Human aware robot navigation rarely take potential Human Reaction into account in the motion planner. In contrast, we propose in this paper the concept of potential Human Reaction aware motion planner (PHRAMP), i.e. the robot had better take potential Human Reaction into account in its motion planning. We propose a general methodology coined as the potential cost minimization (PCM) framework for realizing PHRAMPs. We present some theoretical characteristics of this framework and explain its relationship with existing methods. We describe an instantiation of the PCM framework which serves as a concrete example PHRAMP to demonstrate the utility and advantage of the PCM framework.
Pedro Lopes - One of the best experts on this subject based on the ideXlab platform.
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SIGGRAPH Emerging Technologies - Demonstrating preemptive Reaction: accelerating Human Reaction using electrical muscle stimulation without compromising agency
ACM SIGGRAPH 2019 Emerging Technologies on - SIGGRAPH '19, 2019Co-Authors: Jun Nishida, Shunichi Kasahara, Pedro LopesAbstract:In this demonstration we enable preemptive force-feedback systems to speed up Human Reaction time without fully compromising the user's sense of agency. Typically these haptic systems speed up Human Reaction time by means of electrical muscle stimulation (EMS) or mechanical actuation (exoskeletons), which unfortunately, completely remove the users sense of agency. We address this by actuating the user's body, using EMS, within a particular time window (160 ms after visual stimulus), which we found to speed up Reaction time by 80 ms, while retaining a sense of agency. Here, we demonstrate this at the example of two applications: (1) taking a picture of a high-speed moving object in mid-flight, or (2) hit baseball with a toy gun.
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CHI - Preemptive Action: Accelerating Human Reaction using Electrical Muscle Stimulation Without Compromising Agency
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19, 2019Co-Authors: Shunichi Kasahara, Jun Nishida, Pedro LopesAbstract:We enable preemptive force-feedback systems to speed up Human Reaction time without fully compromising the user's sense of agency. Typically these interfaces actuate by means of electrical muscle stimulation (EMS) or mechanical actuators; they preemptively move the user to perform a task, such as to improve movement performance (e.g., EMS-assisted drumming). Unfortunately, when using preemptive force-feedback users do not feel in control and loose their sense of agency. We address this by actuating the user's body, using EMS, within a particular time window (160 ms after visual stimulus), which we found to speed up Reaction time by 80 ms in our first study. With this preemptive timing, when the user and system move congruently, the user feels that they initiated the motion, yet their Reaction time is faster than usual. As our second study demonstrated, this particular timing significantly increased agency when compared to the current practice in EMS-based devices. We conclude by illustrating, using examples from the HCI literature, how to leverage our findings to provide more agency to automated haptic interfaces.
Marek Majewski - One of the best experts on this subject based on the ideXlab platform.
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Intelligent natural language processing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006Co-Authors: Wojciech Kacalak, Keith Douglas Stuart, Marek MajewskiAbstract:In this paper, a natural language interface is presented which consists of the intelligent mechanisms of Human identification, speech recognition, word and command recognition, command syntax and result analysis, command safety assessment, technological process supervision as well as Human Reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of commands in natural language using artificial neural networks. © Springer-Verlag Berlin Heidelberg 2006.
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Intelligent system for natural language processing
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006Co-Authors: Marek Majewski, Wojciech KacalakAbstract:Nowadays technological devices can already be provided with enough intelligence to understand and act appropriately on voice commands. The voice communication with technological devices becomes a stronger challenge as technology becomes more advanced and complex. In this paper, a natural language interface is presented which consists of the intelligent mechanisms of Human identification, speech recognition, word and command recognition, command syntax and result analysis, command safety assessment, technological process supervision as well as Human Reaction assessment. In this paper, a review is carried out of selected issues with regards to recognition of speech commands in natural language given by the operator of the technological device. A view is offered of the complexity of the recognition process of the operator's words and commands using neural networks made up of a few layers of neurons. The paper presents research results of speech recognition and automatic recognition of commands in natural language using artificial neural networks. © Springer-Verlag Berlin Heidelberg 2006.
