Neuromorphic engineers aim to mimic the precise and efficient mechanisms of the nervous system to process information using spikes from sensors to actuators. There are many available works that sense and process infor...
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This paper presents a structure of robust adaptive control for biped robots which includes balancing and posture control for regulating the center of mass position and trunk orientation of bipedal robots in a complian...
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In this paper, motion synchronization is investigated for human-robot collaboration, such that the motions of the robot and its human partner are synchronized and the robot is able to "actively" follow its h...
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In this paper, we propose a hybrid deliberate/reactive model to achieve natural handshaking between human beings and robots. Our goal is to provide a perspective to achieve natural human-robot handshaking in addition ...
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The fundamental problem in today's world when robots are becoming a part of daily routine is getting them to move from one desired place to another without any problem and collision. In doing so a robot needs to p...
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作者:
Shuzhi Sam GeRobotics Institute
School of Computer Science and EngineeringUniversity of Electronic Science and Technology of China
In this paper,modeling and control are investigated for a multi-cable mooring *** mathematical model of the system is described as partial differential equations(PDEs) via the Hamilton's *** is designed at the top...
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In this paper,modeling and control are investigated for a multi-cable mooring *** mathematical model of the system is described as partial differential equations(PDEs) via the Hamilton's *** is designed at the top boundary of the mooring lines based on the Lyapunov's direct method to suppress the vessel's *** control is developed to handle the system parametric *** the proposed boundary control,uniform boundedness of the system is achieved. Simulations are carried out to verify the effectiveness of the proposed control.
In this paper, neural networks based impedance control is developed for a wearable rehabilitation robot in interactions with humans and the environments. The dynamics of the robot are represented by an n-link rigid ro...
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Wireless a sensor network, which typically consist of large number of sensor nodes, is deployed in environmental fields for sensing and actuating applications. The protocols in WSNs play an important role in energy sa...
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ISBN:
(纸本)9781467349215
Wireless a sensor network, which typically consist of large number of sensor nodes, is deployed in environmental fields for sensing and actuating applications. The protocols in WSNs play an important role in energy savings and the performance of WSNs could be improved by designing suitable MAC protocols. Energy efficiency is one of the important research themes while designing wireless sensor network nodes as WSNs are battery powered. MAC protocols are also used to minimize latency and maximize throughput in wireless sensor networks. Observably there are many MAC protocols available nowadays for WSNs but the actual objective is minimizing the energy consumption so that the lifetime is maximized. This paper is aimed at to summarize the key requirements for MAC protocol design and we have proposed a new protocol: Energy Efficient Election protocol (EEE-MAC) for WSNs. Our protocol is based on cluster based election algorithm and it can be implemented with any existing protocols. We have compared our proposed protocol with the existing contention-based S-MAC and T-MAC protocols. The simulation results show that our protocol has achieved better energy saving than the other three protocols.
To segment an object from its background in an image for advanced vision processing, this paper presents a novel bio-inspired general framework for image segmentation in complex nature scenes, which is a hierarchical ...
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To segment an object from its background in an image for advanced vision processing, this paper presents a novel bio-inspired general framework for image segmentation in complex nature scenes, which is a hierarchical system that mimics the organization of layered early visual area in primate visual cortex. The proposed methodology consists of two typical stages: the first stage is a parallel modular structure including three segmenting operators based on color feature, form feature and texture feature, each of which solves the segmentation problem independently for the same input. Then, a fusion operation, multiple feature fusion segmentation (MFFS), integrates these three feature segmentations together through the backpropagation neuron network (BPNN) in the last stage, which simulates the operation of area following the lateral geniculate nucleus in primary visual cortex. The proposed approach is applied to several segmentation experiments of many single objects in clustering conditions, the result shows that the approach is capable of competing with state-of-the-art systems.
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