The detection of abnormal behaviors is one of the most important issues in the health monitoring system. Computer vision based techniques, usually combined with statistics, are labor-intensive, time-consuming and costly. Moreover, only monitoring but no help functions are provided. To overcome this limitation, this paper presents a ZigBee wireless sensor networks based detection and help system for elderly abnormal behaviors in service robot intelligent space. The main components of the system, including abnormal behaviors detection module, localization of abnormal behaviors, ceiling projector for robot navigation and development of ZigBee wireless sensor networks, are addressed in detail. Finally, we conclude this paper and future research direction is given.
This paper presents the design and implementation of voice interaction system based on ARM in service robots intelligent space. ARM Cortex-M3 core based STM32F103 is used for main controller. And real-time embedded operating system μC/OS-II is used to schedule different tasks and manage peripheral devices. LD3320 and XFS4041CN are used for speech recognition and speech synthesis, respectively. Establish a dialogue set by defining the set of two-dimensional array, and then intelligent space updates the dialogue set dynamically via ZigBee wireless network for multiple scenes. If the recognition result is got by speech recognition module, dialogue management module will send corresponding texts to speech synthesis module, enabling text-to-speech output. At the same time, intelligent space decision support system will send corresponding commands to equipments by ZigBee. From lots of experiments and practical applications, we can conclude that voice interaction systems designed in the paper can gracefully satisfy the current request of voice interaction in service robots intelligent space, having great application value.
Two arms are attached on the live-working robot for cooperating jobs and some task requiring larger stiffness such as pushing and butting when replacing cross arm or insulator. The different kinematic structure of this two arms brings many difficulties to get the dynamic model of the total system. This paper proposes a force control method to solve this problem. Two arms are considered as one arm firstly, then the general stiffness matrix is obtained. And based on the compliant relationship between the dual arms and the environment, the force control method for the exact force control is presented. The scheme is experimentally tested on the live-working robot, and the effectiveness and rapidity is validated .
Particle filter is a powerful tool for video tracking however its large amount of calculation restricts its application especially when the number of particles is large. This paper analysis the distribution of the particles, and the finite additive feature in the weighting calculation of the particles. Then this paper proposed a method which utilized the overlapped particles thus up to 81.22% time consumed is reduced in computation. Experimental results show its validity.
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