In this paper, we take 6kg arc welding robot designed by our lab as research object and build a complex virtual prototype model. A fast, intuitive and effective dynamics method which is based on simulink and robotics ...
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Global model of permanent magnet linear synchronous motor (PMLSM) drive system is built in this paper by bond graph method. In the global model each component of PMLSM drive system are concerned, which include motor d...
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During rover lunar exploration missions (such as China's "Chang'e"), rovers are required to move autonomously on the loose lunar soil. Control methods based on the rigidity hypothesis can hardly be e...
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The forming technique of micro-punching is an important method for precision plastic machining of micro-parts, the micro-hole size must be sub-millimeter in two-dimension. To punch less than 200μm micro-holes on thin...
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The rapid development of the Integrated Circuit (IC) manufacturing equipment industry requires greater efficiency for wafer transfer. However, the faster wafer transfer robot moves, the bigger the force applied on its...
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Friction compensation and disturbance observer design in velocity loop for a high acceleration precision motion stage actuated by linear motor is considered. The friction compensator divides the friction into linear a...
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The traditional drawing system based on the 2-D mouse can not realize the haptic interaction between operators and virtual environment. This is not available for operator to feel the interaction sensitivity. A virtual...
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This article describes the initial design of a biomimetic cuttlefish robot. The robot has a similar streamlined shape as cuttlefish, propelled by the complex of the biomimetic undulatory level pectoral fin and the wat...
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Simultaneous localization and mapping (SLAM) is a key technology for mobile robots operating under unknown environment. While FastSLAM algorithm is a popular solution to the SLAM problem, it suffers from two major d...
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Simultaneous localization and mapping (SLAM) is a key technology for mobile robots operating under unknown environment. While FastSLAM algorithm is a popular solution to the SLAM problem, it suffers from two major drawbacks: one is particle set degeneracy due to lack of observation information in proposal distribution design of the particle filter; the other is errors accumulation caused by linearization of the nonlinear robot motion model and the nonlinear environment observation model. For the purpose of overcoming the above problems, a new iterated sigma point FastSLAM (ISP-FastSLAM) algorithm is proposed. The main contribution of the algorithm lies in the utilization of iterated sigma point Kalman filter (ISPKF), which minimizes statistical linearization error through Gaussian-Newton iteration, to design an optimal proposal distribution of the particle filter and to estimate the environment landmarks. On the basis of Rao-Blackwellized particle filter, the proposed ISP-FastSLAM algorithm is comprised by two main parts: in the first part, an iterated sigma point particle filter (ISPPF) to localize the robot is proposed, in which the proposal distribution is accurately estimated by the ISPKF; in the second part, a set of ISPKFs is used to estimate the environment landmarks. The simulation test of the proposed ISP-FastSLAM algorithm compared with FastSLAM2.0 algorithm and Unscented FastSLAM algorithm is carried out, and the performances of the three algorithms are compared. The simulation and comparing results show that the proposed ISP-FastSLAM outperforms other two algorithms both in accuracy and in robustness. The proposed algorithm provides reference for the optimization research of FastSLAM algorithm.
In this paper, we constructed a three-dimensional dynamic simulator for HitMSR II which is a module self-reconfigurable robot system composed of single-rotational-freedom modules. Downhill Simplex Optimization Algorit...
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