Functional reasoning or the Takagi-Sugeno-Kang model is a fuzzy reasoning method aiming at numerical accuracy and has found wide use in fuzzy modeling. In this method, each rule consists of a fuzzy implication and a f...
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The repair of nuclear power plants often necessitates the development of special robots which should be operational readily. This requires a software architecture which quickly permits the design of a controller for a...
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The repair of nuclear power plants often necessitates the development of special robots which should be operational readily. This requires a software architecture which quickly permits the design of a controller for an entire telerobotic system in a minimum period of time. We have developed such a software architecture to facilitate the design of applications dealing with nonstandard robot systems and complex industrial processes. In this paper we describe the requirements for this architecture and how we address them.
This paper presents a method to regulate and maintain the necessary amount of suction generated and used by a robotic gripper system to perform distortion-free manipulation of limp material. A fuzzy logic control sche...
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This paper presents a method to regulate and maintain the necessary amount of suction generated and used by a robotic gripper system to perform distortion-free manipulation of limp material. A fuzzy logic control scheme is used for both the determination and regulation of suction. Suction regulation is achieved by controlling the voltage applied to the suction generation motor. The presented approach is found to enhance the overall functionality of the existing robotic gripper system.
One way to avoid obstacles without modeling the environment is to use a sensor-based sensitive skin covering the body of the robot along with proper sensor-based motion planning algorithms. Compared to prior attempts,...
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One way to avoid obstacles without modeling the environment is to use a sensor-based sensitive skin covering the body of the robot along with proper sensor-based motion planning algorithms. Compared to prior attempts, the system developed at the UW-Madison robotics Lab and discussed here presents a system that can be easily reconfigured for a variety of applications. This is accomplished via modularized sensitive skin patches that can be connected in various ways, and a hierarchical control architecture that can be easily modified for various system configurations. In the implemented version, the skin contains about 1000 infrared sensors; it can be easily expanded, with minor changes. The system has been successfully tested in preliminary trials.
For a system of cooperative mobile robots to be effective in real-world applications it must be able to efficiently execute a wide class of complex tasks in potentially unknown and unstructured environments. Previous ...
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For a system of cooperative mobile robots to be effective in real-world applications it must be able to efficiently execute a wide class of complex tasks in potentially unknown and unstructured environments. Previous research in multi-robot systems has either been limited to relatively structured domains or to small classes of feasible missions. This paper describes a field-capable system called GRAMMPS which addresses this problem by coupling a general-purpose interpreted grammar for task definition with dynamic planning techniques. GRAMMPS supports a general class of local navigation systems and heterogeneous groups of robots, providing optimal execution of missions given current world knowledge. Simulations illustrating the capabilities of this system are provided. Results showing successful runs of this system on two autonomous off-road vehicles are also given.
This paper focuses on the state-of-the-art of control problems in robotics. Beyond its tutorial value, the work aims at identifying challenging control problems that must be addressed to meet future needs and demands,...
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This paper focuses on the state-of-the-art of control problems in robotics. Beyond its tutorial value, the work aims at identifying challenging control problems that must be addressed to meet future needs and demands, as well as at indicating preliminary solutions to the identified problems. Various topics are covered starting from the closest issues related to industrial robotics, such as force control, multirobots and dexterous hands, to the most advanced issues related to underactuated and nonholonomic systems, as well as to teleoperation, haptic interfaces and visual servoing.
Many different control procedures and task execution strategies have been developed for multiple robots cooperation. Most of them are centralized and hence become very complex with increase in number of robots or thei...
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Many different control procedures and task execution strategies have been developed for multiple robots cooperation. Most of them are centralized and hence become very complex with increase in number of robots or their complexity. For this reason, the distributed control approach is found very attractive and the event-based control has enhanced its effectiveness. However, they demand the robots to be autonomous in all respects, and hence have found their applications for autonomous mobile robots or manipulator arms with abundant sensors and actuators. This paper, in contrast, has used these control approaches for a immobile multiple manipulator system with robots having only two degrees of freedom, while one of them is passive and with minimal sensory informations. Computer simulations show that it is also practicable to execute these schemes for an under-actuated system.
Planar linear motors have been shown to be capable of fast accurate 2-DOF motions, making them useful for assembly tasks. However, the lack of sensing capability has limited their applications. Previous planar motor s...
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Planar linear motors have been shown to be capable of fast accurate 2-DOF motions, making them useful for assembly tasks. However, the lack of sensing capability has limited their applications. Previous planar motor sensors were precise but bulky and sensed only a single direction of motion. We present a small integrated 3-DOF sensor capable of 0.2 /spl mu/m position resolution (1/spl sigma/) which has been integrated with an existing planar linear motor without changing its overall size. Physical design of the sensor is presented as well as the custom electronics used to produce a low-noise DC output from the small signal levels of the sensor. Finally, we present results that demonstrate the resolution and accuracy of the complete sensor system.
In many robotic applications motions must be executed robustly in dynamic and partially unknown environments. Despite this requirement most motion planning algorithms assume the environment to be known and changes to ...
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In many robotic applications motions must be executed robustly in dynamic and partially unknown environments. Despite this requirement most motion planning algorithms assume the environment to be known and changes to be predictable. The planning problem in dynamic environments can be decomposed into a planning and an execution phase. In this paper we describe a new framework for the execution of motion plans for robots with many degrees of freedom in dynamic environments. An initial valid trajectory is incrementally modified according to changes in the environment to maintain a collision free path. This framework achieves real-time performance for robots with many degrees of freedom. It is particularly well suited for redundant systems and mobile manipulation, since it allows motion specification of a subset of the degrees of freedom of the robot, greatly simplifying the task of robot programming.
Mobile robots for advanced applications have to act in environments which contain moving obstacles. Motions of obstacles (e.g. humans) usually are not precisely predictable, but neither they are completely random. Lon...
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Mobile robots for advanced applications have to act in environments which contain moving obstacles. Motions of obstacles (e.g. humans) usually are not precisely predictable, but neither they are completely random. Long-term observation of obstacle behavior may yield knowledge about prevailing motion patterns. This paper presents concepts and results of an experimental system. Using cameras mounted at the ceiling, the workspace is observed. The image data is processed and transformed into a compact statistical representation of motion patterns. Mobile robot motion planning benefits from such additional knowledge: trajectories are rated in terms of collision probability and expected time for reaching the goal; planning yields efficient paths which are adapted to obstacle behavior.
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