In this paper, we present the design and implementation of a multi-robot cooperation framework to collectively execute inter-dependent tasks of an overall complex mission requiring diverse capabilities. Given a hetero...
详细信息
ISBN:
(纸本)9728865600
In this paper, we present the design and implementation of a multi-robot cooperation framework to collectively execute inter-dependent tasks of an overall complex mission requiring diverse capabilities. Given a heterogeneous team of robots and task dependencies, the proposed framework provides a distributed mechanism for assigning tasks to robots in an order that efficiently completes the mission. The approach is robust to unreliable communication and robot failures. It is a distributed auction-based approach, and therefore scalable. In order to obtain optimal allocations, effective bid evaluations are needed. Additionally to maintain optimality in noisy environments, dynamic re-allocations of tasks are needed as implemented in dynamic task selection and coalition maintenance scheme that we propose. Real-time contingencies are handled by recovery routines, called Plan B precautions in our framework. Here, in this paper, we present performance results of our framework for robustness in simulations that include variable message loss rates and robot failures. Experiments illustrate robustness of our approach against several contingencies.
The main contribution of this paper is a method for optimizing the layout of workcells taking into consideration both the reachability of the robot as well as the expected cycle time. To analyse the reachability for s...
详细信息
ISBN:
(纸本)9789897583049
The main contribution of this paper is a method for optimizing the layout of workcells taking into consideration both the reachability of the robot as well as the expected cycle time. To analyse the reachability for systems using sensors to pose estimate objects, the method uses a combination of discrete samples over the space in which objects are located and a manipulability measure based on the determinant of the manipulator Jacobian. To compute the expected cycle time for the robot, the method includes a simulated controller, which is optimized to estimate the performance of the physical robot. For the optimization of the workcell layout the proposed method based on applying Gaussian penalties in local minima is compared to three existing methods for global optimization. For the optimization of the simulated controller three different local methods are compared along with one global.
This paper relates to the problem of a path following task for a wheeled mobile platform of (2,0) type. Two kinematic control algorithms, Micaelli-Samson algorithm and Soetanto-Lapierre-Pascoal algorithm, which are ba...
详细信息
ISBN:
(纸本)9789898565716
This paper relates to the problem of a path following task for a wheeled mobile platform of (2,0) type. Two kinematic control algorithms, Micaelli-Samson algorithm and Soetanto-Lapierre-Pascoal algorithm, which are based on either the Serret-Frenet frame with an orthogonal projection or the Serret-Frenet frame with a nonorthogonal projection of a robot on the desired path, were presented. The additional condition that should be imposed on the function δ, which is a parameter depending on a linear velocity of the robot and on a distance error, was described. The influence of the function δ on the convergence of the non-singular algorithm has been shown using computer simulations.
In this work the application of six-axis robots for robot-based industrial X-ray computed tomography (CT) imaging is investigated. In contrast to classical Cartesian manipulators with a turntable used in industrial co...
详细信息
ISBN:
(纸本)9789897583803
In this work the application of six-axis robots for robot-based industrial X-ray computed tomography (CT) imaging is investigated. In contrast to classical Cartesian manipulators with a turntable used in industrial cone-beam CT, robots offer increased flexibility regarding scanning trajectories. The increased flexibility with respect to scanning trajectories helps to gather highly informative content from alternative ray paths for a high-quality 3D reconstruction of the object to be scanned. Using numerical simulations we show that this additional informations increase the image quality of a CT scan of a multi-material measuring object, consisting of tantalum spheres and a carbon structure.
Autonomous navigation in off-road environments is a challenging task for mobile robots. Recent success in artificial intelligence research demonstrates the suitability and relevance of neural networks and learning app...
详细信息
ISBN:
(纸本)9789897583803
Autonomous navigation in off-road environments is a challenging task for mobile robots. Recent success in artificial intelligence research demonstrates the suitability and relevance of neural networks and learning approaches for image classification and off-road robotics. Nonetheless, meaningful decision making processes require semantic knowledge to enable complex scene understanding on a higher abstraction level than pure image data. A promising approach to incooperate semantic knowledge are ontologies. Especially in the off-road domain, scene object correlations heavily influence the navigation outcome and misinterpretations may lead to the loss of the robot, environmental, or even personal damage. In the past, behavior-based control systems have proven to robustly handle such uncertain environments. This paper combines both approaches to achieve a situation-aware navigation in off-road environments. Hereby, the robot's navigation is improved using high-level off-road background knowledge in form of ontologies along with a reactive, and modular behavior network. The feasibility of the approach is demonstrated within different simulation scenarios.
This paper proposes the application of Deep Learning methods for kinematic error compensation. Particular attention is paid to simulation-based error estimation and the use of the Transfer Learning method for error co...
详细信息
ISBN:
(纸本)9789897584428
This paper proposes the application of Deep Learning methods for kinematic error compensation. Particular attention is paid to simulation-based error estimation and the use of the Transfer Learning method for error compensation to reduce physical experiments with a real robot. The obtained results were applied and validated for 4-dof (degrees of freedom) cable-driven parallel robot. The problem of error compensation for the cable-driven parallel robot is highly non-linear. Nevertheless, deep learning-based methods for a considerable training dataset provides better accuracy than simple linear error compensators. To overcome this drawback, we applied the transfer learning method and used the knowledge of robot kinematics simulated in Unity. Unity cable-driven robot simulation was implemented, and the central hypothesis was verified first in the simulated environment. The proposed Transfer Learning method allowed to speed up the process of robotics system integration and recalibration due to the significant sample efficiency improvement.
This paper presents the work in progress on the design and testing of a distributed ultrasound-based sensory system for hybrid 1D and 2D environment visualisation. Many common sensors used in robotics, such as infrare...
详细信息
ISBN:
(纸本)9789897581984
This paper presents the work in progress on the design and testing of a distributed ultrasound-based sensory system for hybrid 1D and 2D environment visualisation. Many common sensors used in robotics, such as infrared and ultrasonic sensors, cameras and lasers mainly focus on quantifying distances and shapes, while rarely have the ability to differentiate among different sensed surfaces/materials. We propose an inexpensive prototype sensory system based on popular ultrasonic sensors which uses ultrasonic reflections to determine the acoustic reflection coefficients. This additional feature allows differentiating among sensed objects. Moreover, the developed ultrasonic cells are equipped with a microcontroller for basic signal processing and a communication link for integration into a sensor network. In this paper, we discuss the possibility of fusing obtained sensor array data and laser measurements.
Environmental research is an area where robotics platforms can be applied as solutions for different problems to help or automate certain tasks, with the purpose of being more efficient or also safer for the researche...
详细信息
Environmental research is an area where robotics platforms can be applied as solutions for different problems to help or automate certain tasks, with the purpose of being more efficient or also safer for the researchers involved. This paper presents the Kamanbare platform. Kamanbar6 is a bioinspired robotic platform, whose main goal is to climb trees for environmental research applications, applied in tasks such as gathering botanical specimen, insects, climatic and arboreal fauna studies, among others. Kamanbare is a platform that provides flexibility both in hardware and software, so that new applications may be developed and integrated without the need of extensive knowledge in robotics.
The paper proposes three Gain-Scheduling (GS) control design approaches dedicated to the position control of electromagnetic actuated clutch systems. The initial nonlinear mathematical model of the plant is simplified...
详细信息
The conference, in its customary full name 2012 IEEE internationalconference on automation, Quality and Testing, robotics - THETA 18th edition, follows the tradition of the 17 automation and testing related scientifi...
详细信息
暂无评论