For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane w...
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For a ground target tracking system using an unmanned helicopter, an on-board pan-tilt controller is proposed to adjust the attitude of the camera, so that to keep the target staying at the center of the image plane when the target is in sight. When the target is temporarily out of view due to various reasons, the designed controller will make the camera quickly re-capture the target by estimating its state and then regulating the orientation of the camera correspondingly. Specifically, a novel state transformation is firstly introduced to make the error system independent of the target image. Subsequently, a nonlinear pan-tilt controller is designed for the transformed error system. Lyapunov techniques are then employed to prove that the target tracking error in the image plane is driven to zero exponentially fast. To facilitate the implementation of the constructed controller, a visual estimator is also utilized to obtain the state information of the target even if it is occasionally out of the view of the camera by introducing an effective nonlinear filter. Simulation results are provided to validate the performance of the presented control system.
In this paper, a new probabilistic path planning algorithm is described. The algorithm has been developed for assembly planning purposes, but however it can also be used in similar scenarios. Most assembly planning al...
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ISBN:
(纸本)9781617387197
In this paper, a new probabilistic path planning algorithm is described. The algorithm has been developed for assembly planning purposes, but however it can also be used in similar scenarios. Most assembly planning algorithms apply the so called assembly-by-disassembly strategy, therewith planning starts from the goal position of parts and tries to remove single parts or group of parts. Such problems are characterized by the appearance of many narrow passages. Thus, we have developed an probabilistic algorithm able to find paths even if many of such passages exist. The idea of our path planner emanates from the particle In each iteration, it propagates new samples, discards bad evaluated samples and assigns higher weights to good examples. The evaluation functions propagates the samples to explore free space as well as to condensate on the border of obstacles, which leads samples to pass narrow passages. We have evaluated our path planning algorithm with different examples and compared it to the well-known RRT and PRMplanners. We could achieve good execution times for realistic industrial assembly tasks.
This work addresses the problem of visual-based grasping of unknown objects with a five-finger robot hand. The contribution of this work consists of two parts. Firstly, the sensor system of the robot finger tips has b...
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ISBN:
(纸本)9781617387197
This work addresses the problem of visual-based grasping of unknown objects with a five-finger robot hand. The contribution of this work consists of two parts. Firstly, the sensor system of the robot finger tips has been enhanced to increase its sensitivity for reactive grasping of unknown objects. Therefore, two additional passive degrees of freedom are introduced to the finger tips to make them adjust themselves to the object surface. Secondly, a robust approach to visual determination of unknown objects is introduced. The visual part starts with the extraction of interest points which are typical for an object. A cluster of these object features indicate an object candidate. The proportions of this accumulation of 3-dim. points and the distribution of the feature categories within this cluster indicates an object to be grasped. The proposed approach has been tested with the novel tactile sensor system.
The presented path-guidance system is able to learn movements and to predict motion. It shall enhance safe navigation for surgeons in minimally invasive surgery by creating a virtual fixture which holds the end-effect...
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In this paper fault detection, fault diagnosis and active fault tolerant control of an electro-hydraulic servo-axis with a duplex-valve-system are described. The fault detection is based on parity equations. The semi-...
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In this paper, a new probabilistic path planning algorithm is described. The algorithm has been developed for assembly planning purposes, but however it can also be used in similar scenarios. Most assembly planning al...
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ISBN:
(纸本)9783800732739
In this paper, a new probabilistic path planning algorithm is described. The algorithm has been developed for assembly planning purposes, but however it can also be used in similar scenarios. Most assembly planning algorithms apply the so called assembly-by-disassembly strategy, therewith planning starts from the goal position of parts and tries to remove single parts or group of parts. Such problems are characterized by the appearance of many narrow passages. Thus, we have developed an probabilistic algorithm able to find paths even if many of such passages exist. The idea of our path planner emanates from the particle In each iteration, it propagates new samples, discards bad evaluated samples and assigns higher weights to good examples. The evaluation functions propagates the samples to explore free space as well as to condensate on the border of obstacles, which leads samples to pass narrow passages. We have evaluated our path planning algorithm with different examples and compared it to the well-known RRT and PRM planners. We could achieve good execution times for realistic industrial assembly tasks.
This paper presents a novel approach for haptic object recognition with an anthropomorphic robot hand. Firstly, passive degrees of freedom are introduced to the tactile sensor system of the robot hand. This allows the...
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This paper presents a novel approach for haptic object recognition with an anthropomorphic robot hand. Firstly, passive degrees of freedom are introduced to the tactile sensor system of the robot hand. This allows the planar tactile sensor patches to optimally adjust themselves to the object's surface and to acquire additional sensor information for shape reconstruction. Secondly, this paper presents an approach to classify an object directly from the haptic sensor data acquired by a palpation sequence with the robot hand - without building a 3d-model of the object. Therefore, a finite set of essential finger positions and tactile contact patterns are identified which can be used to describe a single palpation step. A palpation sequence can then be merged into a simple statistical description of the object and finally be classified. The proposed approach for haptic object recognition and the new tactile sensor system are evaluated with an anthropomorphic robot hand.
Optical Flow estimation has found a way to be calculated in real time with feasible accuracy. This is due to novel extensions in the variational formulation and the progress developing modern graphic processor units (...
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ISBN:
(纸本)9783800732739
Optical Flow estimation has found a way to be calculated in real time with feasible accuracy. This is due to novel extensions in the variational formulation and the progress developing modern graphic processor units (GPU) which enable parallel computations due to dozens of stream processors. This paper will show the development of a new data term for the variational formulation of the optical flow estimation and then embedding the optical flow field into a Bayesian filter for the purpose of human kinematic estimation. The theoretical considerations are manifested by experimental results. Novel theoretical considerations including an implemented framework with experimental results for markerless human motion and kinematic estimation.
This article presents the application and enhancements of assembly strategies using force-torque maps in view of parallel robots. Starting from classical assembly strategies the fundamentals of force-torque maps are b...
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Nowadays, it is impossible to think of a flexible automatic production without robots. Robots are very important tools in tasks such as objects handling. In the industrial robotic area, especially in logistics, produc...
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ISBN:
(纸本)9781617387197
Nowadays, it is impossible to think of a flexible automatic production without robots. Robots are very important tools in tasks such as objects handling. In the industrial robotic area, especially in logistics, production and assembly, the necessity to sort objects can often be observed. Katsoulas already noted that "such systems are of great importance because they undertake a task that is very monotonous, strenuous and sometimes quite dangerous for humans" [13]. The most complex sorting task has been named bin picking [10, 9]. Due to the fact that in such application the system has not a certain previous knowledge of the environment, the integration of sensors as well as algorithms for the sensor evaluation and computation of a collision free path is vital to achieve a robust system.
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