Traditional series robots have the disadvantages of complex structure and complicated control. Almost all of them have no adaptive ability. Although soft robots have good adaptive characteristics, they also have the l...
Traditional series robots have the disadvantages of complex structure and complicated control. Almost all of them have no adaptive ability. Although soft robots have good adaptive characteristics, they also have the limitations of poor bearing capacity and low stiffness. In addition, their motion trajectory and motion precision are difficult to achieve accurate control. In order to solve the above problems, based on a single motor-driving multi-stage metamorphic mechanism, this paper carries out kinematic analysis and error analysis to determine the motion trajectory and motion accuracy of the multi-stage metamorphic mechanism. And this paper uses ADAMS to carry out simulation calculation. Comparing the theoretical calculation results and simulation calculation results, and determining the errors between the multi-stage metamorphic mechanisms, so as to ensure the accurate position of the multi-stage metamorphic mechanism during work. The multi-stage metamorphic mechanism realizes stable and efficient work.
In this paper, a novel ant colony optimization(ACO) simulation platform is developed by MATLAB/GUI toolbox to solve traveling salesman problem(TSP). The modular design concept is applied to divide platform into four m...
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In this paper, a novel ant colony optimization(ACO) simulation platform is developed by MATLAB/GUI toolbox to solve traveling salesman problem(TSP). The modular design concept is applied to divide platform into four main modules. The function modules are designed by using MATLAB/GUI toolbox. The development, implementation and test of the designed ACO simulation platform are particularly introduced. The test process and results show that the function of the designed ACO simulation platform can be implemented by importing exiting map and its coordinates or setting coordinates manually;besides, when setting parameters, they can be changed arbitrarily in the range of prompt message. The proposed platform can effectively solve the TSP and find the optimal path.
This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitab...
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This paper studies the problem of image-based leader-follower formation control for mobile robots, where the controller is designed independently of the leader's motion. An adaptive control scheme, which is suitable for both omnidirectional and perspective cameras, is proposed. The proposed approach avoids the need for accurate calibration of the extrinsic parameters of the omnidirectional camera as well as the intrinsic and extrinsic parameters of perspective camera. Additionally, the coefficients of the plane where the feature point moves relative to the camera frame can be uncertain. These uncertain constant parameters are estimated using an adaptive estimator. Uniform Semi-global Practical Asymptotic Stability (USPAS) of the system is shown using the Lyapunov approach. Experimental results are presented to demonstrate the effectiveness of the proposed control scheme.
In this paper,an environment modeling method with height dimension reduction for unmanned aerial vehicle(UAV) path planning is *** on the traditional grid method,a plane being vertical to yz-plane and including the st...
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In this paper,an environment modeling method with height dimension reduction for unmanned aerial vehicle(UAV) path planning is *** on the traditional grid method,a plane being vertical to yz-plane and including the start point and end point is considered in this *** the height of this plane and obstacles,the environment model could be set up through re-dividing the plane by grid *** idea reduces the dimension of the 3 D environment model and ignores the obstacles which are lower than the flying height of *** this way,the accuracy of the proposed environment model method could be increased,and the efficiency of the path planning algorithm could be ensured *** experiment shows the effectiveness of this environment modeling method by applying A* algorithm for path planning.
The future of control in cyberspace of parallel worlds is discussed. It argues for the coming age of control 5.0,the control technology for the new IT capable of dealing with artificial worlds with VR, AR, AI and robo...
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The future of control in cyberspace of parallel worlds is discussed. It argues for the coming age of control 5.0,the control technology for the new IT capable of dealing with artificial worlds with VR, AR, AI and robotics. The discipline of automation needs a new interpretation of its core knowledge and skill set of modeling, analysis, and control for cyber-socialphysical systems, and a paradigm shift from Newtonian systems with Newton's Laws or Big Laws with Small Data to Mertonian systems with Merton's Laws or Small Laws with Big Data.
In this paper,a dual arm control method in a teleoperation system is *** a bimanual robot,moving a common object precisely requires real-time cooperation between the two *** such conditions the force interaction inclu...
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In this paper,a dual arm control method in a teleoperation system is *** a bimanual robot,moving a common object precisely requires real-time cooperation between the two *** such conditions the force interaction including the internal forces applied on the object must be taken into *** the dynamics models for master device,slave robot and the object are first *** the presence of the uncertainties in the dynamics model of the remote robot,a neural network method is used for compensation in the slave *** order to guarantee the stability of the teleoperation system,the wave variable approach is employed in the communication *** the controllers in both the master and the slave part are designed based on their dynamics *** the tracking convergence and system stability are proven by the Lyapunov *** simulation experiments are carried out to show the good performance of trajectory tracking and force reflection.
In this paper, we have developed a mechatronic human-robot coupling interface for kinaesthetic guidance based human robot teaching interface, by integration of a 6-axis force sensor, a coupling mechanism and wearable ...
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In this work, we investigate a state estimation problem for a full-car semi-active suspension system. To account for the complex calculation and optimization problems, a vehicle-to-cloud-to-vehicle (V2C2V) scheme is u...
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The traditional 3D human motion capture methods require operators to wear tracking sensors on their body. However, these devices would bring operators much inconvenience. Currently, vision based motion capture systems...
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ISBN:
(纸本)9781509041039
The traditional 3D human motion capture methods require operators to wear tracking sensors on their body. However, these devices would bring operators much inconvenience. Currently, vision based motion capture systems provide us an alternative approach for motion capture technology. In this paper, based on human kinematics and function approximation technique (FAT), a novel method is presented for the trajectory control of Baxter robot. Each arm of the Baxter robot has seven degrees of freedom. The geometry vector approach is applied to capture human motion trajectory by using Microsoft Kinect sensor. A FAT control system is employed to make the robot follow the trajectory of human motion. The UDP communication protocol is employed to send the reference human joint angle data to the robot. We carry out preliminary experiments on Baxter robot to verify the validity of the control approach and the results demonstrate that the method has achieved satisfactory performance.
For on-orbit maintenance and service of space robot,this paper presents a 6D-ICP approach for 3D reconstruction and state estimate of unknown non-cooperative target based on stereo *** flow is applied to target image ...
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ISBN:
(纸本)9781467397155
For on-orbit maintenance and service of space robot,this paper presents a 6D-ICP approach for 3D reconstruction and state estimate of unknown non-cooperative target based on stereo *** flow is applied to target image features tracking in each monocular camera extracted by Harris detector across successive *** features tracked successively in each camera will be matched between two cameras,and corresponding 3D structure points on the targets are generated *** use 6D ICP-based method to estimate the target state and reconstruct 3D target *** experimental results are shown to demonstrate the feasibility of the proposed method.
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