八足步行机器人参数的仿真计算

通过对八足步行机器人的研究,希望建立一个对复杂地形高度适应、有一定承载能力的步行机器人平台。该机器人在行走过程中,摆动腿为串联结构,而支撑腿则与地面、躯体形成具有冗余输入的多环并联机构,由于分析困难,因此借助先进的动力学仿真软件ADANS对其进行仿真计算。该文在八足步行机器人初始结构参数基础上,建立了三维机器人仿真模型,以灵活度为评价指标对机器人结构进行优化,并对优化后的模型作了运动学仿真分析,最后关于角度值的测量对原理样机的控制起到指导作用。研究表明ADAMS／VIEW模块可以方便、直观、准确地计算步行机器人运动情况。     

基于Klann连杆的球腿复合机器人的设计与研究

结合球形和四足机器人两者优势,创新性地提出一种能适应多重作业环境的球腿复合移动机器人．在滚动模式下,对其进行直线滚动和侧滚转向分析,验证机器人转向的可行性．在四足模式下,以复数矢量法求得机器人足端坐标,并用Matlab绘制的足端轨迹曲线与Adams仿真曲线对比,验证了理论的正确性．以抬腿高度作为目标函数,由非线性规划算法求得足端轨迹最优解．采用质心投影法分析了机器人四足行走时的稳定性．建立仿真模型对机器人的四足直行、四足转向、四足爬坡和球体侧滚等运动模式进行仿真试验．同时,制作一台样机,验证了该机器人方案设计及各运动模式的可行性．     

基于高阶多项式的爬游机器人足端轨迹规划

针对深海爬游机器人足端轨迹规划问题,采用高阶多项式拟合的方法对其进行研究;首先,介绍了爬游机器人整体结构并对其进行运动学建模,结合爬游机器人运动学模型提出了一种直线与曲线相结合的机器人足端轨迹;其次,利用四阶多项式和六阶多项式分别对机器人足端轨迹进行拟合,比较两种拟合结果可知,六阶多项式拟合方法对机器人足端速度、加速度的规划效果更佳;利用六阶多项式轨迹拟合方法对多段轨迹连接点处的速度问题进行了分析,解决了机器人在运动过程中腿部抖动问题,使机械腿具有良好的控制柔顺性;最后,根据D-H法则建立机器人单腿仿真模型,通过仿真验证了算法的可行性,进一步在水池中利用机器人实物样机验证了算法的有效性.     

连续电驱动四足机器人腿部机构设计与分析

提出了一种四足机器人腿部的连续电驱动（即电机整周转动驱动腿部实现摆转跨步动作）方案,设计了一种具有由切比雪夫机构、五杆机构组成的2自由度双曲柄复合连杆机构的机器人腿部结构．分析了动物的足端轨迹特性,采用轨迹圆滑、无突变、导数连续的椭圆曲线规划了机器人足端运动轨迹．以规划的足端轨迹再现为优化目标,采用遗传算法与fmincon函数内点法计算得到了腿部机构杆长的最佳尺寸．在此基础上,建立了机器人仿真模型,通过Adams仿真分析了机器人腿部机构的足端运动特性,并研制了腿部结构性能测试平台．完成了单腿足端运动轨迹跟踪实验,验证了腿部结构设计方案的可行性．     

一种多模型融合的仿猎豹四足机器人复杂运动控制方法

针对具有2自由度主动脊柱关节的仿猎豹四足机器人,基于任务分解思想和生物神经系统机理,提出多模型融合的控制方法。该方法以弹簧负载倒立摆模型实现单腿跳跃控制,通过中枢模式发生器（CPG）实现4条腿之间以及脊柱―腿之间的协调控制,利用虚拟模型控制实现机器人与环境交互,采用基于CPG输出的有限状态机来融合3个控制模型,构建仿猎豹四足机器人的多模型分层运动控制器。参考猎豹脊柱运动特征,设计了机器人脊柱关节运动模式,给出脊柱与腿的协调控制策略。最后,在Webots仿真环境中搭建了仿猎豹四足机器人虚拟样机,实现了不同步态下的脊柱―腿的协调控制、在崎岖地形上稳定奔跑,以及平滑的对角―疾驰―对角步态转换,仿真结果验证了所提出的多模型融合的四足机器人运动控制方法的有效性。     

轮腿式机器人倾覆稳定性分析与控制

对于运动在不平坦地形中的移动机器人而言,其倾覆稳定性非常关键．设计了一种结构对称的轮腿式机器人,它有4个独立的轮腿运动单元,能够变化多种构形．采用动态能量稳定锥方法和倾覆稳定性指数对机器人的稳定性进行综合评价,建立了一个模糊神经网络自适应控制系统．根据稳定性指数值,该系统可以实时改变机器人的构形和速度,保证其倾覆稳定性．正弦路面上的仿真结果表明,该系统所产生的动作实时性好、可靠性高,能够降低机器人自主越障过程中的危险．     

一种基于并联6自由度结构的电动轮足机器人

针对现有基于串联式机械腿结构的四足机器人无法同时满足承载能力大、环境适应性强、运动速度快等要求的问题,提出了一种基于并联6自由度结构的电动轮足机器人结构原理,集成了轮式运动和足式运动各自的优势.在对机器人并联式轮腿进行运动学和动力学分析基础上,建立了单腿动力学模型和机器人整体运动学模型,提出了机器人机身姿态调整算法,有效提高了机器人运动过程中姿态的平稳性.仿真与实验验证了所提出的轮足复合式机器人的可行性和轮式运动时机器人机身姿态调整策略的有效性.     

电动并联六轮足机器人的运动驱动与多模态控制方法

提出一种并联六轮足移动机器人．该机器人设有多模式Stewart型腿结构,其负载能力大,集成了轮式运动和足式运动的优点,可实现足式、轮式、轮足复合式运动．首先,阐述了机器人设计思路,对电动并联六轮足机器人的硬件系统和控制系统进行设计．其次,针对足式运动模式,设计了一套完整的足式“三角”步态和稳定行走算法,该算法可降低足端与地面之间的垂直方向冲击,防止足式运动拖腿或打滑;针对轮式运动模式,设计并介绍了6轮协同控制和轮式协同转向原理;针对轮足复合式运动模式,介绍了变高度、变支撑面、变轮距、主动隔振控制原理,重点分析了主动隔振控制和变轮距控制,可实现主动隔振及姿态平稳控制,提高了机器人在崎岖颠簸地形下的轮足复合式运动的稳定性．最后,对电动并联六轮足机器人的足式、轮式、轮足复合式运动模式进行实验,实验结果验证了本文提出的并联六轮足移动机器人设计的可行性和各运动模式下驱动与控制算法的有效性．     

具有3维力感知能力的多足仿生机器人足端机构设计

为提高多足仿生机器人在崎岖地形中的适应能力,设计了一种具有3维力感知能力的足端机构,该机构主要包含足端球、盖板、4个1维力传感器、基座和预紧螺栓.4个力传感器以45?倾角对称安装在基座卡槽内,根据传感器受力在水平和垂直方向的分力可实现足端球与环境间接触力的测量.首先,对足端机构的3维力测量原理进行分析,基于ADAMS仿真验证了该测量原理的正确性.在传感器标定实验中发现,预紧螺栓施加的预紧力以及足端球的材料对足端机构的3维力测量性能具有较大的影响.最后,在确定预紧力和足端球材料后,对选定参数的足端机构进行标定实验,标定结果表明,足端机构在X和Y方向的力测量精度可以达到±11.3%,Z方向的力测量精度可以达到±9.4%.     

仿生猫科机器人的肩腿部运动学分析与结构优化

针对仿猫四足机器人肩腿结构进行研究,对机构进行运动学分析,通过蒙特卡洛法求解机器人足端运动空间。对比不同大小腿长比例下的足端可达空间,对机器人肩腿长度进行优化。将得到的优化结果作为输入,利用虚拟样机技术仿真输出机器人俯仰角和翻滚角曲线,验证机器人优化后的行走稳定性。通过拓扑算例对肩腿结构进行拓扑优化,获得腿部优化后结构形式,为样机试制奠定基础。     

Dual‐tracked mobile robot for motion in challenging terrains

In this paper we present a novel design for a dual‐tracked mobile robot. The robot is designed for safe, stable, and reliable motion in challenging terrains, tunnels, and confined spaces. It consists of two tracked platforms connected with a semipassive mechanism. Sensors attached to the connecting mechanism provide redundant localization data that improve the vehicle's autonomous dead reckoning. Each tracked platform mechanically backs up the other platform, resulting in a more robust and reliable operation. The load share between the platforms enables a high payload‐to‐weight ratio even on soft and slippery terrains. The robot's configurations make it suitable for motion in confined spaces such as underground tunnels, collapsed structures, pipes, and caves. The paper presents the mechanical design of the robot, its kinematic model, stability analysis, and a motion planner. Experimental results conducted on prototype models in various types of environments verify the robot capabilities to operate successfully on challenging terrains. The dual‐tracked robot is capable of climbing slopes 50% steeper than a single robot can. Moreover, the improved odometry system shows high accuracy with 2% error of the total travel distance. © 2011 Wiley Periodicals, Inc.     

煤矿救援机器人结构设计及分析

针对矿井地貌环境的非结构性和复杂性,为了提高救灾机器人的越障能力和实际救援能力,分析了轮式救援机器人行走系统的力学系统原理,提出了机器人六轮行走机构的设计方案。六轮移动机器人采用电动推杆为升降系统提供动力;采用独立悬挂系统,减小了车身的倾斜和震动;采用集中控制-分布驱动方式,有利于运动机构性能的发挥;能够根据地形特征调整自己的底座结构,有很强的越障能力和对非结构化地形的适应能力。     

An adaptive locomotion controller for a hexapod robot: CPG,kinematics and force feedback

Insects can perform versatile locomotion behaviors such as multiple gaits, adapting to different terrains, fast escaping, etc. However, most of the existing bio-inspired legged robots do not possess such walking ability, especially when they walk on irregular terrains. To tackle this challenge, a central pattern generator （CPG）-based locomotion control methodology is proposed, integrated with a contact force feedback function. In this approach, multiple gaits are produced by the CFG module. After passing through a post-processing circuit and a delay-line, the control signal is fed into six trajectory generators to generate predefined feet trajectories for the six legs. Then, force feedback is employed to adjust these trajectories so as to adapt the robot to rough terrains. Finally the regulated trajectories are sent to inverse kinematics modules such that the position control instructions are generated to control the actuators. In both simulations and real robot experiments, we consistently show that the robot can perform sophisticated walking patterns. What is more, the robot can use the force feedback mechanism to deal with the irregularity in rough terrain. With this mechanism, the stability and adaptability of the robot are enhanced. In conclusion, the CPG-base control is an effective approach for legged robots and the force feedback approach is able to improve walking ability of the robots, especially when they walk on irregular terrains.     

Generation of a continuous free gait for quadruped robot over rough terrains

Generating a robust gait is one of the most important factors to improve the adaptability of quadruped robots on rough terrains. This paper presents a new continuous free gait generation method for quadruped robots capable of walking on the rough terrain characterized by the uneven ground and forbidden areas. When walking with the proposed gait, the robot can effectively maintain its stability by using the Center of Gravity (COG) trajectory planning method. After analyzing the point cloud of rough terrain, the forbidden areas of the terrain can be obtained. Based on this analysis, an optimal foothold search strategy is presented to help quadruped robot to determine the optimum foothold for the swing foot automatically. In addition, the foot sequence determining method is proposed to improve the performance of robot. With the free gait proposed in this paper, quadruped robot can walk through the rough terrains automatically and successfully. The correctness and effectiveness of the proposed method is verified via simulations.     

State estimation and traversability map construction method of a quadruped robot on soft uneven terrain

Quadruped robots show excellent application prospects in complex environment detection and rescue. At present, scholars mainly focus on quadruped walking in rigid environments. However, quadruped robots often need to pass through uneven and soft unconstructed terrains, prone to slip and impact. The mismatch between the planned foothold position and the real one resulting from environmental uncertainties makes the robot unstable. In this paper, the state estimation and traversability map construction methods are proposed for quadruped robots to achieve stable walking in an unstructured environment, especially on soft terrains. First, the Error-state Kalman Filter (ErKF) is extended by optimizing the leg odometry information to get an accurate robot state, especially in soft, uneven terrain. The ErKF method fuses the sensor data from the inertial measurement unit, laser, camera, and leg odometry. The leg odometry is optimized by considering the foot slippage, which easily occurs in soft uneven terrains. Then, the unstructured environment is parameterized and modeled by the terrain inclination, roughness, height, and stiffness. A traversability map, which is essential for robot path and foothold planning in autonomous movement, is constructed with the above parameters. Finally, the proposed method is verified by simulation and experiments. The results show that the quadruped robot can walk stably on different soft and uneven terrains.     

基于USPIOT统一接口网络通信层的业务缓冲机制

物联网应用已成为新兴产业之一,业务平台是实现其应用的关键。在研究和实现物联网泛在业务平台USPIOT过程中,网络通信层是其必不可少的核心部分,也是开发的重点部分。文中介绍了为物联网泛在业务平台USPIOT设计和实现的网络通信层,在实现过程中,为解决多终端用户访问量大、业务差异性强等特点,又提出和实现了一种业务服务缓冲机制。该机制在平台业务管理中采用了多级缓冲技术,用两级缓冲池机制来验证系统。通过两级缓冲池系统多业务运行结果显示,在多终端大业务量环境下,特别在2000任务数以上,相比于单级缓冲池,系统效率可提高20%以上。     

A Highly-Maneuverable Demining Autonomous Robot: an Over-Actuated Design

Based on the well-known advantages of using an over-actuated mechanism for robots, this research proposes a holonomic highly-maneuverable autonomous robot design for demining service applications. The proposed approach provides an interesting compromise between the design requirements of the demining robot applications and the over-actuated autonomous robots. The robot body is mainly divided into two parts: the first part provides the robot with its required locomotion and it consists of a driving/steering subsystem with four driving wheels (4WD), four steering mechanisms (4SW), and a passive suspension subsystem. The second part is a manipulator with three degrees of freedom that is designed based on two parallelogram mechanisms. The proposed design insures many advantages over existing designs, including stability, maneuverability, autonomous navigation, and simplicity of the control effort constraints. The robot model and its corresponding stability analysis were conducted and simulated in order to evaluate the motion of the robot over different environments rough terrains and slanted surfaces. Moreover, a prototype of the proposed robot was developed and built and different types of sensors were used in order to help it take precise actuation decisions for navigation and control. The prototype was experimentally tested for different scenarios and environments in order to validate the proposed design. The testing results demonstrated decent performance of the robot in autonomous navigation and in localizing the detected objects.     

Novel Energy Transfer Mechanism in a Running Quadruped Robot with One Actuator per Leg

In this work we develop a novel method, or mechanism, of energy transfer in a quadruped running robot. The robot possesses only one actuator per leg, for lower weight and greater power autonomy. The developed mechanism ensures correct dispersion of energy to the actuated and the unactuated degrees of freedom of the robot for stable running. In the mechanism design, we address the added problem of running on inclined ground. In conjunction with a pitch control method, the energy transfer mechanism forms a complete control algorithm. Due to the novel dynamics-based design of the mechanism, it allows the arbitrary setting of the motion forward speed and apex height. Further, it may be applied for different robot physical parameters and ground inclines, without extensive controller tuning. This has not been previously possible using only one actuator per leg. Simulations of a detailed three-dimensional model of the robot demonstrate the mechanism on two different robots. The simulations take into account many real-world characteristics, including realistic leg models, energy loss due to feet collisions, foot–ground friction and energy losses in the joints. Results demonstrate that inclines of up to 20° are properly negotiated.     

Analysis of the constraint relation between ground and self-adaptive mobile mechanism of a transformable wheel-track robot

To maneuver in unstructured terrains where the ground might be soft, hard, flat or rough, a transformable wheel-track robot (NEZA-I) with a self-adaptive mobile mechanism is proposed and developed. The robot consists of a control system unit, two symmetric transformable wheel-track (TWT) units, and a rear-wheel unit. The TWT unit is the main mobile mechanism for the NEZA-I robot, with the rear-wheel unit acting as an assistant mechanism. Driven only by one servomotor, each TWT unit can efficiently select be...