We address practical issues to develop reactive motion planning method capable of replanning the path online when the environment changes during the execution. By introducing planning and execution threads running in ...
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We address practical issues to develop reactive motion planning method capable of replanning the path online when the environment changes during the execution. By introducing planning and execution threads running in parallel, the robot can keep moving even during the replanning process as long as the motion is safe. The proposed method can be applied to discontinuous input of environmental changes that may occur due to incomplete perception. We then address a roadmap reuse method for efficient replanning to make use of the increasing knowledge about the environment, by introducing working and learning roadmaps. A general interface with robot motion controller is also defined so that the method can be applied to various types of robots. The proposed method is validated through planning simulations with moving obstacles.
By introducing a deadwzone scheme, a new neural network based adaptive iterative learning control (ILC) (NN-AILC) scheme is presented for nonlinear discrete-time systems, where the NN weights are time-varying. The...
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By introducing a deadwzone scheme, a new neural network based adaptive iterative learning control (ILC) (NN-AILC) scheme is presented for nonlinear discrete-time systems, where the NN weights are time-varying. The most distinct contribution of the proposed NN-AILC is the relaxation of the identical conditions of initial state and reference trajectory, which are common requirements in traditional ILC problems. Convergence analysis indicates that the tracking error converges to a bounded ball, whose size is determined by the dead-zone nonlinearity. Computer simulations verify the theoretical results.
As the first step in resolving stability of a manufacturing system in the sense of deadlock, calculation of circular waits might involve time and memory consuming calculations. In this paper we propose an efficient me...
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Studies of intelligent computation have made significant progress in theoretical development and practical applications to various engineering systems. In this talk, a very brief introduction to intelligent computing ...
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Studies of intelligent computation have made significant progress in theoretical development and practical applications to various engineering systems. In this talk, a very brief introduction to intelligent computing approaches will be given. After that, several practical applications in agriculture and agricultural engineering will be presented, including intelligent measurement, monitoring and analysis of live stock odors using wireless e-nose networks, and intelligent computing technologies for harvesting robotic systems and behavior-based agricultural robotic systems.
A genetic algorithm (GA)-based fuzzy-interference control system with an accelerate/brake (A/B) module is developed for a mobile robot in unknown environments with moving obstacles. The A/B module of the proposed syst...
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A genetic algorithm (GA)-based fuzzy-interference control system with an accelerate/brake (A/B) module is developed for a mobile robot in unknown environments with moving obstacles. The A/B module of the proposed system is to enable the mobile robot to make human-like decisions as it moves toward a target. Under the control of the proposed fuzzy inference model, the robot can perform well in avoiding both static and moving obstacles, like human beings, along a reasonable short path. In addition, a GA module is employed to tune the membership functions, which improves the performance of the fuzzy-inference system. The GA is an effective auto-tuning technique in optimizing systems without suffering from local minima. The effectiveness of the proposed approach is demonstrated by simulation studies.
Elevated intraocular pressure (IOP) is a major risk factor for the degenerative eye disease glaucoma. Accurate indirect measurements of IOP are essential for glaucoma diagnosis and screening. This work presents an exp...
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Elevated intraocular pressure (IOP) is a major risk factor for the degenerative eye disease glaucoma. Accurate indirect measurements of IOP are essential for glaucoma diagnosis and screening. This work presents an experiment developed to measure IOP in-vitro by simulating the technique of digital palpitation tonometry, a technique in which a trained examiner palpates the eyeball using the fingertips of both index fingers to ldquofeelrdquo the stiffness of the eye. The qualitative nature of this method and errors introduced by the subjectivity of the examiner mean that it is rarely used in comparison with other modern-day tonometry methods. However, this technique offers several potential advantages in that it can be performed outside of a clinical setting without the need for instrument sterilization or local anesthesia and may be less subject to measurement errors occurring in patients who have undergone refractive laser eye surgery. In order to quantify the mechanics of digital palpation tonometry, an automated experiment to measure the intraocular pressure of enucleated porcine eyeballs using mechanized digital palpation was designed and tested. This experiment has direct applications towards the development of a next-generation tonometer for glaucoma treatment.
Necessity to recognize the world like a home environment by a humanoid robot has recently been arisen for daily usages. As an observation sensor, stereo vision is the most common device for a humanoid robot to obtain ...
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ISBN:
(纸本)9781424445875
Necessity to recognize the world like a home environment by a humanoid robot has recently been arisen for daily usages. As an observation sensor, stereo vision is the most common device for a humanoid robot to obtain the environmental data, but it is more erroneous than a laser sensor. To overcome the inaccuracy of stereo vision, we propose a particle-based SLAM technique so that the SLAM posterior is estimated by multiple hypotheses. The major difficulty of the particle-based SLAM with 3D grid maps is the high computational cost. To reduce the computational cost, we also propose a scheduling method for the time when to match and for particles that engage in the matching process. Through experiments with a humanoid robot, HRP-2, it is shown that the proposed approach can reduce the computational cost while preserving estimation accuracy.
The approximation of humanoid robot by an inverted pendulum is one of the most used model to generate a stable motion using a planned Zero Moment Point (ZMP) trajectory. In this paper, we aim at proposing to improve t...
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ISBN:
(纸本)9781424445875
The approximation of humanoid robot by an inverted pendulum is one of the most used model to generate a stable motion using a planned Zero Moment Point (ZMP) trajectory. In this paper, we aim at proposing to improve the reliability of this model using system identification techniques. To achieve this goal, we propose an identification method which is the result of the comprehensive application of system identification to dynamic systems. Moreover, we propose a controlling algorithm for the identified model in oder to track a desired trajectory of ZMP. The efficiency of the method is shown using dynamical simulation and conducting real experiments on the humanoid robot HRP-4C.
In this paper a system for control and 3D visualization of a manipulator for weld inspection of nuclear reactor vessels is described. Based on client-server TCP/IP software architecture, the presented control system e...
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In this paper a system for control and 3D visualization of a manipulator for weld inspection of nuclear reactor vessels is described. Based on client-server TCP/IP software architecture, the presented control system enables an operator to perform the entire inspection procedure remotely over a network, avoiding exposure to dangerous radiation which is commonly present in nuclear reactor environments. The developed graphical user interface provides all necessary tools needed for planning robot scan trajectories, their verification on a virtual 3D model and execution on a remote robot. In addition, the weld inspection process can be observed in parallel on a virtual robot and reactor vessel model and on live video streams captured by two special cameras mounted on the robot.
Recent advances in computing and communication technologies paved the growth for applications and devices in smart home environment. A typical smart home is highly characterized by heterogeneity elements that need to ...
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Recent advances in computing and communication technologies paved the growth for applications and devices in smart home environment. A typical smart home is highly characterized by heterogeneity elements that need to perform joint execution of tasks in an efficient manner. Although there are huge growth of services, applications and devices in smart home environment, the interoperability elements still seems ambiguous. Being a distributed architecture, smart home environment needs certain degree of interoperability to manage sub-systems comprising of different platforms. Generally, these sub-systems are developed in isolation and consist of different operating system and tier of services. There is need for a cross-platform interoperability that could make the sub-systems 'talk' each other and operate in an interoperable fashion within smart home environment. Web Services seems to be the emerging technology that could lead the way in providing greater interoperability. In this paper we describe the potential of Web Services technology using Simple Object Access Protocol (SOAP) in addressing the interoperability requirements for smart home environment. The SOAP protocol provides data exchange mechanism as well as optimized performance for interoperation among sub-systems residing in smart home environment. The proposed system performance is evaluated to demonstrate a complete, bi-directional realtime management of sub-systems in smart home environment.
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