2014年，各项改革措施和城镇化深入推进，将调动和激发社会发展的动力和活力。宏观调控“上下限区间”管理有助于稳定社会预期。虽然有宏观红利的推动，但家电行业正处于产业结构调整期，相对于发展速度而言，行业此时更重视产品结构优化。 随着智能家电技术的不断完善和行业产品结构调整的结束，生产厂商在上下游的议价能力将有进一步的提升，从而促进行业盈利能力的提升，但预计行业收入在调整期不会有大幅增长。预计全年销售收入将达到22000亿元，同比增长约10%。

This paper presents a method based on a multi-objective self-adaptive differential evolution (MOSaDE) algorithm to improve the parametric reconfiguration feature in the optimal design of a parallel robot.We propose a MOSaDE algorithm,in which both trial vector generation strategies and their associated control parameter values are gradually self-adapted by learning from their previous experiences in generating promising solutions.Consequently,a more suitable generation strategy along with its parameter settings can be determined adaptively to match different phases of the search process.Furthermore,a constraint-handling mechanism is added to bias the search to the feasible region of the search space.The obtained solution will be a set of optimal geometric parameters and optimal PID control gains.The results obtained in a set of experiments performed mechatronic system show the effectiveness of the proposed approach.

In order to achieve the quick and accurate adjustment of the robot fish,there are two plans,which are based on ant-colony-algorithm movement strategy.These plans are aimed at 2D robot fish in the ant colony algorithm,and the key judgment of the robot fish relies on the branches of physic matters,together with the best match of the fish in its current speed.However,according to the dynamic algorithm project,the feedback of dynamic variable movement can process adjustment automatically.In every period,these two examples by which the 2D Simulation results show the robot fish can be adjusted on the policy path.To achieve optimal combination of speed and direction,the shortest time has a strong ability to adapt effectively to meet the simulation of robot fish or action of the action decision-making.

A complete coverage path planning algorithm,which combines local space coverage with global planning,is proposed.At first,environmental model of mobile robot in a space with obstacles is built by Boustrophedon unit decomposition method,and mobile robot realizes coverage in a reciprocating way in local space.S econdly,it takes local space divid ing,sub-space connecting sequence and sub-space walking route into account,then a completely 4onnected distance matrix that represents the connecting relation ship ofth e coverage sp ace are defined.Thirdly,dynamic programming algorithm is used to optimize this matrix and a shortest global coverage sequence is acquired.Simulation example proves the effectiveness of the proposed algorithm.

This paper presents a two-dimensional movement and the one-dimensional rotating 3 DOF robot that can be used to pick up, delivery and place riveting column, thin axis (referred to as riveting column) and other parts, forming the assembly systems of riveting of sheet metal. In addition to the robot, the system also has moving table, clamp, a number of riveting column station and spin riveter etc. Moving table is equipped with the clamp, it can move in the X and Y directions, respectively. The clamp that fixed the sheet metal work-piece can move in Z-direction, which make it easy for assembling the riveting axis into the riveting holes on the work-piece. Robot can move along the Y axis and swing around the Z axis, make the nozzle that is in the end of manipulator move between riveting column stations and spin riveter, which pick up and place the riveting column. A number of riveting column station is used for store riveting column and sorting them. Spin riveter rotates while moving along the Z axis at the same time, by pressure and rotational force it completes the column riveting on sheet metal parts.

The problem of optimally routing the wiring in large-scale modular skins for robots is gaining much attention in the literature. Theoretically, the problem is NP-hard. On the basis of previous work [3], [37], we solve the skin wiring problem using an Ant Colony Optimization approach. In this Chapter, we address the problem of designing a good pheromone structure: we propose five alternatives, which are validated using both real and artificially generated problem instances.

In order to solve the problems of complete coverage path and obstacle avoidance with the mobile robot,the complete coverage planning was described first,and then the algorithm of the complete coverage path planning was analyzed.The complete traversal algorithm and the obstacle avoidance strategy of the robot around the barrier were put forward.Finally,the traversal control flow chart of the traversal robot implemented in Single Chip Microcomputer (SCM) was obtained.After the above analysis,the algorithm was simple,practical,and low repeatability,and high efficiency.The algorithms could effectively solve the difficulty of complete coverage path and obstacle avoidance with the robot.

Two-wheeled self-balanced robot based on the inverted pendulum model belongs to the category of the wheeled robots and it shares many characters with inverted pendulum,which are nonlinear,strong coupling,multi-variable and parameter uncertainty.Because there are many methods to keep this unstable robot self-balanced,this kind of robot has become an ideal platform to verify various kinds of control theories.In this paper,the two-wheeled robot is built on LEGO NXT set and depends on the sensors like gyro,angle transducer to keep upright.The mathematic and kinetic model of the robot is established according to the Lagrangian Dynamics and state-space equation of the whole system is presented.At last,a kind of state feedback control with the state observer is set up to make the system closed and stable.

The four-wheel differential omni-directional mobile robot has shown a strong research value and application prospect.This paper explored the kinematics and dynamics model of the omni-directional mobile robot by former differential and rear differential features,with a particular focus on its path planning strategy.The design includes path planning reference point,whilst analysis was made on the temporary path design strategy for linear and circular two features,with the resulting temporary path being optimal and most valid.This paper concludes with the research results that are available for providing the necessary preliminary studies and theoretical basis for the control of the mobile robot of this type.