摘要:
It seems self-evident that human responsiveness to social input enhances learning, yet the details of the social forces at play are only beginning to come into focus. Recent research on language and cognitive development in preschoolers and infants illuminates mechanisms such as social gating and natural pedagogy, and specific ways in which they benefit learning. We review such advances and consider implications of this research for designing robotic systems that can harness the power of social forces for learning. (C) 2010 Elsevier Ltd. All rights reserved.
摘要:
The article explores the concept of designing a prosthetic hand with the ability to dynamically react to touch. The device, called Sensory Input Bio Prosthetic Hand, features two mode, automatic and manual. It mentions that the organic lights emitting diode (OLED) is programmed to send an incremental serial signal to the servo control board to allow for accurate control of each servo. It shows that the OLED displays which finger is to moved.
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Background Physiological tremor is the main cause of imprecision in microsurgical procedures/robotics applications. Existing methods, such as weighted-frequency Fourier linear combiner (WFLC), rely on estimating the tremor under the assumption that it has a single dominant frequency. This paper focuses on developing a new algorithm for accurate tremor filtering in real time. Methods A study conducted on several novice subjects and microsurgeons showed the tremor to contain several dominant frequencies in a band, rather than a single dominant frequency. Based on the tremor characteristics, a new algorithm band-limited multiple Fourier linear combiner (BMFLC) has been developed to estimate a band of signals with multiple dominant frequencies. A separation procedure to separate the intended motion/drift from the tremor portion is also discussed. Results A simulation study was first conducted to validate the theoretical development on recorded tremor data. The experimental set-up was designed to study the real-time performance of the proposed algorithm. Tremor sensing using accelerometers is also discussed, with the proposed algorithm. Our experiments showed that the developed BMFLC algorithm had an average tremor compensation of 64% compared to 43% for the WFLC algorithm in real-time for one degree of freedom (1-DOF) cancellation of tremor. Conclusions The BMFLC algorithm can be applied for the three axes separately and 3-DOF cancellation of tremor can be achieved. Further research is required to deal with complex gestures involved during microsurgery. Copyright (C) 2010 John Wiley 8.1 Sons, Ltd.
摘要:
We can learn about human ethics from machines. We discuss the design of a working machine for making ethical decisions, the N-Reasons platform, applied to the ethics of robots. This N-Reasons platform builds on web based surveys and experiments, to enable participants to make better ethical decisions. Their decisions are better than our existing surveys in three ways. First, they are social decisions supported by reasons. Second, these results are based on weaker premises, as no exogenous expertise (aside from that provided by the participants) is needed to seed the survey. Third, N-Reasons is designed to support experiments so we can learn how to improve the platform. We sketch experimental results that show the platform is a success as well as pointing to ways it can be improved.
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We present a novel representation of visual information, based on local symbolic descriptors, that we call visual primitives. These primitives: (1) combine different visual modalities, (2) associate semantic to local scene information, and (3) reduce the bandwidth while increasing the predictability of the information exchanged across the system. This representation leads to the concept of early cognitive vision that we define as an intermediate level between dense, signal-based early vision and high-level cognitive vision. The framework's potential is demonstrated in several applications, in particular in the area of robotics and humanoid robotics, which are briefly outlined.
摘要:
This article gives an overview of the theoretical basis of the norm-optimal approach to iterative learning control followed by results that describe more recent work which has experimentally benchmarked the performance that can be achieved The remainder of the article then describes its actual application to a physical process and a very novel application in stroke rehabilitation