In this paper, we present a method for representing and re-targeting manipulations for object adjustment before final grasping. Such pre-grasp manipulation actions bring objects into better configurations for grasping...
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In this paper, we present a method for representing and re-targeting manipulations for object adjustment before final grasping. Such pre-grasp manipulation actions bring objects into better configurations for grasping through e.g. object rotation or object sliding. For this purpose, we propose a scaling-invariant and rotation-invariant representation of the hand poses, which is then automatically adapted to the target object to perform the selected pre-grasp manipulations. We show that pre-grasp strategies such as sliding manipulations not only enable more robust object grasping, but also significantly increase the success rate for grasping.
The purpose of this paper is to estimate the performance characteristics of prototype of proposed digital peak current-injected control circuit using the FPGA IC. In the proposed novel digital control circuit, the pea...
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ISBN:
(纸本)9788986510119
The purpose of this paper is to estimate the performance characteristics of prototype of proposed digital peak current-injected control circuit using the FPGA IC. In the proposed novel digital control circuit, the peak current-injected control is realized using the combination of the simple dual A-D signal converter and the programmed delay circuit. The simple dual A-D signal converter consists of comparator and RC integrator. The programmed delay circuit and Pulse Width Modulation (PWM) is realized in a Field Programmable Gate Array (FPGA). From experimental and simulated results, it is confirmed that 1.2ns is not enough for the resolution of time delay because the output voltage eo and reactor current IL are unstable. So, it is necessary to improve the resolution of time delay until less than one-tenth in the general commercial FPGA.
This paper presents a novel architecture for a classification system based on the visual saliency of images. The work is motivated by the difficulty of reviewing large numbers of images as a human operator in the cont...
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This paper presents a novel architecture for a classification system based on the visual saliency of images. The work is motivated by the difficulty of reviewing large numbers of images as a human operator in the context of Autonomous Underwater Vehicle (AUV) surveys. We formulate a feature space in which an algorithm operates over color and texture to determine saliency and illustrate how this can be used to find interesting or unusual images within a large data set. The saliency classification based on these general image features allows for overlays highlighting interesting benthos or geologic structures on large scale 3D seafloor reconstructions, quickly providing spatial context to human observers. These results are validated using a set of human trials in which images are classified into salient and non-salient categories by a number of test subjects. The trials show good agreement both between subjects and between the human labels and the automated classification system. The results of the automated technique are also compared directly to a more traditional SVM classification system showing favorable results for our system for generalizing to new environments.
This paper mainly discusses Multiple-Pursuer Cooperative Multiple-Evader Games, in which a team of autonomous mobile robots act as pursuers to pursue multiple moving targets cooperatively. The traditional Contract Net...
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This paper mainly discusses Multiple-Pursuer Cooperative Multiple-Evader Games, in which a team of autonomous mobile robots act as pursuers to pursue multiple moving targets cooperatively. The traditional Contract Net protocol is extended, including the motivational vector of robot, the trust degree and the acquaintance degree to improve the alliance decision. In order to reduce the communication load during the task negotiation process, the auction mechanism in Economics was introduced, and an improved task negotiation process based on auction was proposed in this paper. It allocated task dynamically through capability classification and independent competition. It can support the dynamically changing capability of each agent and reduce the cost of communication and the difficulty of acquiring knowledge. Based on these extensions, a kind of multi-robot cooperative pursuit algorithm that allows dynamic alliance is proposed. Simulation results show the feasibility and validity of the given algorithm.
In this paper, a control mechanism is presented to improve the compliance performance of the robot manipulator when it is in contact with the unknown environment. This mechanism guarantees that the dynamics of the who...
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In this paper, the grasp operation of an underactuated finger mechanism is simulated with the aim to characterize and analyze its performance. The design of the proposed mechanism is based on spring systems that give ...
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In this paper, the grasp operation of an underactuated finger mechanism is simulated with the aim to characterize and analyze its performance. The design of the proposed mechanism is based on spring systems that give suitable underactuation characteristics. A CAD model is proposed and then it is used in a procedure for numerical simulation. Simulation results show suitable capability for grasping a wide range of objects in size and shape by operating the mechanism inside the finger body. The achieved grasp has been simulated as a human-like functionality with a grasp contact in each phalanx.
This paper describes a fully autonomous mobile urban robot-X1, which can perform multiple tasks autonomously in an unknown urban environment without human guidance, including mobile reconnaissance, target searching, a...
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This paper describes a fully autonomous mobile urban robot-X1, which can perform multiple tasks autonomously in an unknown urban environment without human guidance, including mobile reconnaissance, target searching, and object manipulation. The mission-oriented design, which allows reliability and extensibility of the robotic system, includes a high degree of modularity for both hardware and software architecture, and coordination between tasks. Our strategy specifically addresses fundamental issues such as autonomous navigation in unknown urban environments and vision-based object manipulation. All the functionalities have been proved effective in the real urban environments. The robot platform is being built to provide valuable experiences on autonomous robotics research.
This paper presents a practical approach to design guard robot alarm system using GPRS technology. GPRS offers an interesting communications infrastructure for remotely accessing, controlling and interacting with robo...
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Vision-based motion estimation is a key technique in autonomously mobile robot. This paper presents an integrated method for motion estimation of the mobile robot based on floor plane extraction. The whole processes i...
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In this paper, a kind of price-driven load balancing assignment mechanism in wireless sensor network is proposed. A logic price function is set for each node, which serves as a reference for the assignment of data tra...
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ISBN:
(纸本)9780769536798
In this paper, a kind of price-driven load balancing assignment mechanism in wireless sensor network is proposed. A logic price function is set for each node, which serves as a reference for the assignment of data traffic when the node is selecting a router. The price-driven situation is analyzed, and the selection criteria of logic price function are given. When the data is forwarded, the node can affect the selection of traffic assigning nodes via regulating the price function according to the data size. Theoretical analysis and simulation results show that the assignment mechanism proposed can effectively control the load balance between the nodes. Moreover, the price strategy of nodes can be changed dynamically, and the traffic assignment of entire network can be affected using this mechanism.
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