基于快速扩展随机树的7R机械臂避障达点运动规划

基于单树随机树搜索算法(Single directional rapidly-exploring random tree,single-RRT)和双树随机树搜索算法(Bi-directional rapidly-exploring random tree,bi-RRT),对7R机械臂的避障达点运动规划展开系统研究。基于single-RRT算法进行避障达点运动的数值仿真和实物样机试验。提出一种新的bi-RRT算法,结合末端姿态调整和关节自运动来生成目标树。并利用7R机械臂的解析逆解,生成目标位形。传统的bi-RRT算法只给定了一个目标位形,而新算法中目标点树根是由一群目标位形组成。在给定的障碍物环境中,机器人自动选择某一合适的位形作为目标节点来引导搜索树最有效地生长。通过数值仿真,验证该方法的优越性。利用Matlab和C++的混合编程和OpenGL开发了7R机械臂避障达点运动规划仿真软件。利用该软件,对基于bi-RRT的7R机械臂避障达点运动规划进行虚拟样机的试验研究。     

A Novel Dynamic Obstacle Avoidance Algorithm Based on Collision Time Histogram

Robot path planning in uncertain dynamic environment is a hot issue in the field of Unmanned ground vehicle (UGV). Starting from the practical demands of UGV, we propose a novel dynamic obstacle avoidance al-gorithm based on Collision time histogram (CTH). Given current steering angle, an effective collision check model, which is called Collision check circles (CCC), is firstly cal-culated. The local environment information is then com-bined with CCC to generate the proposed CTH. The non-holonomic nature of the vehicle is embedded in this pro-cess. Finally, the proposed algorithm calculates the execut-ing steering angle by considering both the CTH and the target point. Extensive experiments and comparisons are conducted to evaluate the performance of the proposed al-gorithm. Simulation experiments are firstly conducted to verify its feasibility. Furthermore, real-world experiment is conducted to verify its effectiveness. Experimental results demonstrate the practical value of the proposed algorithm.     

A high-efficiency planar micromixer with convection and diffusion mixing over a wide Reynolds number range

Over a wide Reynolds number range (0.1 ≤ Re ≤ 40), the new planar obstacle micromixer has been demonstrated over 85% mixing efficiency covering the mixing improvement in both convection-enhanced (higher Re flow) and diffusion-enhanced (lower Re flow) mechanisms. Mixing behavior between two operation windows was investigated by numerical simulations and experiments. For the adaptive design, numerical simulations and Taguchi method were used to study the effect of four geometrical factors on sensitivity of mixing. The factors are gap ratio (H/W), number of mixing units, baffle width (W _b) and chamber ratio (W _m /W). The degree of sensitivity using the Taguchi method can be ranked as: Gap ratio > Number of mixing units > Baffle width > Chamber ratio. Micromixer performance is greatly influenced by the gap ratio and Reynolds number. Beside the wide Reynolds number range, good mixing efficiency can be obtained at short distance of a mixing channel and relatively low-pressure drop. This micromixer had improved both complex fabrication process of multi-layer or 3D micromixers and low mixing efficiency of planar micromixer at Re < 100. The trend of the verified experimental results is in agreement with the simulate results.     

Seeking a path through the crowd: Robot navigation in unknown dynamic environments with moving obstacles based on an integrated environment representation

We present a novel algorithm for collision free navigation of a non-holonomic robot in unknown complex dynamic environments with moving obstacles. Our approach is based on an integrated representation of the information about the environment which does not require to separate obstacles and approximate their shapes by discs or polygons and is very easy to obtain in practice. Moreover, the proposed algorithm does not require any information on the obstacles’ velocities. Under our navigation algorithm, the robot efficiently seeks a short path through the crowd of moving or steady obstacles. A mathematically rigorous analysis of the proposed approach is provided. The performance of the algorithm is demonstrated via experiments with a real robot and extensive computer simulations.     

基于避障工作空间的平面机器人机械臂的路径规划

针对多关节机械臂的运动避障问题,提出了一种基于避障工作空间路径规划方法.首先,利用基于射线和相交点的计算机图形学方法建立避障空间(简称为OAPW);其次,在避障空间内,利用D-H坐标方法和MATLAB Robotics工具箱建立了一个具有3个转动关节的机械臂模型;再次,通过最短路径的性能指标规划出最短路径.考虑到运动机械臂与障碍物之间的干涉问题,因此利用障碍物膨胀化方法规划出安全距离的最短路径.最后,运用运动学正反解和插值运算实现机械臂在无障碍物、避障、安全距离避障3种情况下的仿真.     

基于帧间差分和金字塔LK光流法的运动目标检测

针对用于运动目标检测的光流算法存在处理复杂、计算量大等问题,提出一种帧间差分算法和金字塔LK光流法相结合的运动目标检测方案.该方法先对视频图像进行帧间差分处理,得到图像的运动区域,再对该运动区域进行金字塔LK光流计算,减少了计算区域,提高目标检测的速度.最后在搭建的视觉避障平台上使用LabVIEW语言进行算法程序验证,实验结果证明了算法的有效性.     

Dynamic obstacle avoidance for real-time character animation

This paper proposes a novel method to control virtual characters in dynamic environments. A virtual character is animated by a locomotion and jumping engine, enabling production of continuous parameterized motions. At any time during runtime, flat obstacles (e.g. a puddle of water) can be created and placed in front of a character. The method first decides whether the character is able to get around or jump over the obstacle. Then the motion parameters are accordingly modified. The transition from locomotion to jump is performed with an improved motion blending technique. While traditional blending approaches let the user choose the transition time and duration manually, our approach automatically controls transitions between motion patterns whose parameters are not known in advance. In addition, according to the animation context, blending operations are executed during a precise period of time to preserve specific physical properties. This ensures coherent movements over the parameter space of the original input motions. The initial locomotion type and speed are smoothly varied with respect to the required jump type and length. This variation is carefully computed in order to place the take-off foot as close to the created obstacle as possible. Electronic supplementary material Supplementary material is available in the online version of this article at and is accessible for authorized users.     

基于多串口通信的视频矩阵切换器的远程控制

本文分析了基于多串口通信的视频监控系统的功能结构,研究了矩阵切换器的远程控制原理,详细描述了使用MScomm进行矩阵切换器的远程控制的实现过程,在实用中取得了不错的效果。     

Vision-based formation control of mobile robots

In this paper,a formatio n control algorithm and an obstacle avoidance control algorithm for mobile robots are developed based on a relative motion sensory system such as a pan/tilt camera vision system,without the need for global sensing and communication between robots.This is achieved by e mploying the velocity variation,instead of actual ve locities,as the control inputs.Simulation and experi mental results have demonstrated the effectiveness of the proposed control methods.     

Prediction for vented explosions in chambers with multiple obstacles

The predictive ability between existing models on explosion venting, such as the NFPA, Molkov and Yao equations, was examined against experimental data of peak pressures obtained in various chambers with internal obstacles. The NFPA equation yielded the highest overpressures in most cases. The Molkov and Yao equations obtained much better agreement with experiments. However, the statistical diagnosis of the data showed an underprediction of the pressures. This is undesirable for designing calculations where some margin of safety is preferable. A new empirical model derived for characterising chambers with internal obstacles correlated well with the data. In addition the new equation was further validated against a dataset published from the literature and also gave a good correlation.