Determination of joint positions, judgment of robot stability, and selection of the consequential swing leg are keys to crawling control for quadruped robots. We derive an efficient way to obtain actuation variables o...
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The concept called the translational crawl of the quadruped robot is defined, a periodic gait of the translational crawl is described for the TITAN-VIII robot in a known environment. According to its simplified kinema...
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The concept called the translational crawl of the quadruped robot is defined, a periodic gait of the translational crawl is described for the TITAN-VIII robot in a known environment. According to its simplified kinematic process, the robot can implement omnidirectional walking in a known environment by real-time control of the gait. The control algorithm of the gait is presented in detail. The effectiveness of the proposed approach is illustrated by giving simulation results.
A coordinative motion control is described for two different kind of manipulators by using a master-slave concept. Here, the master part consists of a pantagraph-type two link manipulator driven by a torque command, w...
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A coordinative motion control is described for two different kind of manipulators by using a master-slave concept. Here, the master part consists of a pantagraph-type two link manipulator driven by a torque command, whereas the slave part is an industrial manipulator driven by a position command with a force torque sensor. To achieve a desired contact force between the slave manipulator and an object, a compensative position command is generated by using an incremental fuzzy reasoning with the force sensor information. The effectiveness is verified by experiments.
We describe a method for the path planning of an omnidirectional mobile manipulator by applying an evolutionary strategy. For a path using a B-spline, it is important how to choose some appropriate data points and the...
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We describe a method for the path planning of an omnidirectional mobile manipulator by applying an evolutionary strategy. For a path using a B-spline, it is important how to choose some appropriate data points and the corresponding end points. The proposed approach automatically selects their points in a wide range, minimizing or maximizing the total cost function, which consists of several sub-cost functions such as motion smoothness, movable range of joint, singular orientation and falling down. The simulation result shows that our method is effective for the path planning of a robot, which has many boundary conditions and complicated evaluation such as the mobile manipulator considered.
We describe how to easily apply an impedance controlled robot to a profiling task along a curved object and to improve the performance using a position compensator based on the cutter location (CL) data. The CL data g...
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We describe how to easily apply an impedance controlled robot to a profiling task along a curved object and to improve the performance using a position compensator based on the cutter location (CL) data. The CL data generated by the CAD/CAM system have information of points along the curved surface and their normal vectors. If the object is manufactured with a multi-axis numerical control (NC) machine tool, the CL data can be used as not only desired trajectory in the direction of position control but also feedforward information in the direction of force control. This technique allows us to generate the desired trajectory without teaching and to improve the performance for profiling control. Some control experiments are shown to demonstrate the effectiveness of the proposed method.
We explore the integration of different sensor data in a multifilter, multisensor architecture for an onboard train navigation system. GPS, Doppler radar, track-based balises (or beacons) and gyros are the sensors use...
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We explore the integration of different sensor data in a multifilter, multisensor architecture for an onboard train navigation system. GPS, Doppler radar, track-based balises (or beacons) and gyros are the sensors used. The performance of stand-alone sensors is compared with their integration in pairs when a train is simulated over a track trajectory. Improvements in position fixing accuracy are highlighted and further benefits in recalibration of on-board systems are suggested when use is made of fixed balises.
A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG ...
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A signal separation method for extracting background electroencephalogram (EEG) from EEG containing spikes was proposed. Morphological filters were designed for extracting spike waveforms, and then the background EEG was obtained by subtracting the detected spike waveforms from the EEG with spike . The proposed method was evaluated by using simulated EEG data, which consisted of a summation of EEG without spike and model waveform of typical spike. The background EEG separated by the method was processed by the automatic background EEG interpretation.
A position based impedance control with a fuzzy compensator is proposed to improve a force control performance, in which the environment has unknown dynamics or curved surface. The main attraction of the fuzzy compens...
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A position based impedance control with a fuzzy compensator is proposed to improve a force control performance, in which the environment has unknown dynamics or curved surface. The main attraction of the fuzzy compensator is that it generates proper position compensation as feedforward command so that overshoots and oscillations in the direction of force control can be suppressed satisfactorily. Profiling control simulations using the dynamics of the PUMA560 manipulator are shown to demonstrate the effectiveness and promise of the fuzzy compensator under the environment having unknown dynamic characteristics.
Automatic detection of open and closed eye state in EEG (electroencephalographic) record was investigated for one of the purposes of precise interpretation of background EEG. This research provided an effective detect...
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Automatic detection of open and closed eye state in EEG (electroencephalographic) record was investigated for one of the purposes of precise interpretation of background EEG. This research provided an effective detection method of eye open and closure by using sinusoidal wave with Markov process amplitude and a new trigger detection technique. The proposed method brought a satisfactory result that coincided with that of visual inspection done by a qualified EEGer (electroencephalographer), and could be applicable in the clinical use as a preprocessing method for an automatic EEG interpretation.
Friction of each joint of a robot manipulator has to be effectively compensated for in order to realize precise position/force control of robot manipulators. Recently, soft computing techniques (fuzzy reasoning, neura...
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Friction of each joint of a robot manipulator has to be effectively compensated for in order to realize precise position/force control of robot manipulators. Recently, soft computing techniques (fuzzy reasoning, neural networks, and genetic algorithms) have played an important role in the control of robots. By applying soft computing techniques, learning/adaptation ability and human knowledge can be incorporated into a robot controller. In this paper, we propose a two-stage adaptive robot manipulator position/force control method in which uncertain/unknown dynamics of the environment are compensated for in the task space and joint friction is effectively compensated for in the joint space using soft computing techniques. The effectiveness of the proposed control method was evaluated by experiments.
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