Yunyuan Gao

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In this paper, we propose an immune agent model combining the artificial immune system with the agent technology. In the model, a robot is regarded as an antibody and each environmental condition as an antigen respectively. Furthermore, based on the model, a new multi-robots cooperation algorithm is designed to build self-determination cooperation among(More)
The application of hidden Markov model (HMM) to recognize gait phase using electromyographic (EMG) signals is described. Four time-domain features are extracted within a time segment of each channel of EMG signals to preserve pattern structure. According to the division of the gait cycle, the structure of HMM is determined, in which each state is associated(More)
To efficiently accomplish unknown tasks in the multi-robot multi-task system, autonomous cooperation among robots is supposed to be integrated with task allocation. This paper proposes a new artificial immune network (AIN) model for the multi-robot system based on the principles of the biological immune system, which is fully distributed and sufficiently(More)
To accomplish unknown cooperative tasks in multi-robot system, an efficient task allocation method and autonomous cooperation among robots are required. This paper fully takes advantage of the interactions among antibodies and antigen stimulus of immune system to solve the problem. Firstly, an artificial immune network (AIN) model for multi-robot system is(More)
—In many cases, tasks are unknown for the multi-robot system in advance. Therefore, robots are required to work cooperatively during the proceeding of tasks. Such cooperation is called autonomous cooperation. To realize autonomous cooperation in the multi-robot system, an appropriate task allocation algorithm is quite important for the efficiency of the(More)
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