This paper presents a new methodology for the efficiency assessment of task performance of decentralized autonomous multi-robot system. This formulation considers the types of the robots (in terms of sensing, action, ...
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The high temperature consolidation of fiber reinforced titanium matrix composites (TMCs) seeks to reduce the concentration of matrix pores (i.e. increase relative density) while simultaneously minimizing fiber microbe...
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The high temperature consolidation of fiber reinforced titanium matrix composites (TMCs) seeks to reduce the concentration of matrix pores (i.e. increase relative density) while simultaneously minimizing fiber microbending/fracture and the growth of reaction product layers at the fiber-matrix interface. These three goals have conflicting dependencies upon the consolidation processes variables (temperature and pressure), and "trial and error" has had difficulty in identifying optimal process pathways that lead to composites with the least fiber damage, reaction layer thickness and matrix porosity. Here, model predictive control (MPC) concepts have been combined with dynamic consolidation models to investigate the design of locally optimal process cycles that minimize fiber damage, reaction product layer thickness and pore concentration. The approach is used to path plan the input process schedules for a Ti-6Al-4V/SCS-6 TMC system. We then show how useful process windows (i.e. an approximation to the domain of the reachable goals) can be computed by varying the goal and repeating the path planning procedure.
An object-oriented modular approach to the engineering of complex robotic systems emphasizes reliability, reusability, ease of development, and user and network interfaces. This modular approach integrates many archit...
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An object-oriented modular approach to the engineering of complex robotic systems emphasizes reliability, reusability, ease of development, and user and network interfaces. This modular approach integrates many architectural principles and computational techniques which support adaptive and learning capability at the local, modular level. The TETROBOT is a modular and reconfigurable robotic system which was developed to demonstrate the reliable performance in a wide variety of task domains through reconfiguration of the same fundamental hardware and software components. Such a modular approach emphasizes the synthesis and integration of engineering modules and takes advantage of object-oriented engineering principles to design for a family of tasks. This paper provides an overview of the TETROBOT modular system and describes three modular systems in other applications domains.
This paper presents a new approach to reactive control utilizing the output of an explicit path planner which considers terrain preferences. To demonstrate the concept, a wavefront propagation, type of planner algorit...
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This paper presents a new approach to reactive control utilizing the output of an explicit path planner which considers terrain preferences. To demonstrate the concept, a wavefront propagation, type of planner algorithm, Trulla, is integrated into a reactive framework and used as part of the overall architecture. Terrain preferences are represented as weights or costs which are considered in generating a near optimal path. The algorithm is demonstrated on the CSM Denning-Branch MRV4 mobile robot for three scenarios: navigation out of a box canyon, planning with terrain preferences, and opportunistic path improvement.
Programmable vector fields can be used to control a variety of flexible planar parts feeders. When a part is placed on our devices, the programmed vector field induces a force and moment upon it. Over time, the part m...
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Programmable vector fields can be used to control a variety of flexible planar parts feeders. When a part is placed on our devices, the programmed vector field induces a force and moment upon it. Over time, the part may come to rest in a dynamic equilibrium state. We demonstrate lower bounds on what the devices cannot do, and results on a classification of control strategies. We suggest sufficient conditions for programmable fields to induce well-behaved equilibria on every part placed on our devices. We define composition operators to build complex strategies from simple ones, and show the resulting fields are also well-behaved. We discuss whether fields outside this class can be useful and free of pathology. Using these tools, we describe new manipulation algorithms, and improve existing planning algorithms by a quadratic factor, and the plan-length by a linear factor. We relax earlier dynamic and mechanical assumptions to obtain more robust and flexible strategies. Finally, we consider parts feeders that can only implement a very limited "vocabulary" of vector fields. We discuss the trade-off between mechanical complexity and planning complexity.
Recovering depth and 3D position using known camera motion is useful for solving many problems in robotics such as object manipulation, navigation, and localization. Most existing techniques attempt to solve the gener...
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Recovering depth and 3D position using known camera motion is useful for solving many problems in robotics such as object manipulation, navigation, and localization. Most existing techniques attempt to solve the general problem by recovering depth across the entire image. They oftentimes make linear dynamics assumptions or use poorly recoverable metrics such as optical flow. An estimation technique is presented that retains the nonlinear camera dynamics and provides an accurate 3D position estimate of selected targets within the environment. In practice, the technique is accurate enough to fully specify the placement of a gripper for object manipulation after forward (as opposed to lateral) movement of a single camera. The technique also provides probabilistic information regarding the estimate, which can be used to make intelligent, informed decisions. We employed this technique at the 1995 AAAI robot competition where our robot, Lola, placed 1st in Office Clean-up where it was able to pick up trash and recyclables and deposit them in the appropriate receptacles with great success. Results of our implementation on Lola are also presented.
This paper proposes a method of 3-dimensional measurement of a planar surface by using two fixed light sources and a TV camera. A set of two images is recorded by the camera switching on each light alternately. The pe...
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This paper proposes a method of 3-dimensional measurement of a planar surface by using two fixed light sources and a TV camera. A set of two images is recorded by the camera switching on each light alternately. The peak of the luminance distribution in each image is detected, and the orientation and distance of the planar surface are calculated. The position of the peak of a luminance distribution can be estimated accurately by using an image processing. The light sources can be conventional apparatus with no particular structure. The method is simple and suitable for a vision system on an indoor mobile robot.
The purpose of this article is to examine the stability of a robust and decentralized PD control law for robot manipulator control. The control law, which was developed by the authors, has been shown experimentally to...
A novel design of a three dimensional localiser intended for autonomous robot vehicles is presented. A prototype is implemented in air using ultrasonic beacons at known positions, and can be adapted to underwater envi...
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A novel design of a three dimensional localiser intended for autonomous robot vehicles is presented. A prototype is implemented in air using ultrasonic beacons at known positions, and can be adapted to underwater environments where it has important applications, such as deep sea maintenance, data collection and reconnaissance tasks. The paper presents the hardware design, algorithms for position and orientation determination (six degrees of freedom), and performance results of a laboratory prototype. Two appraoches are discussed for position and orientation determination - (i) fast single measurement set techniques and (ii) computationally slower Kalman filter based techniques. The Kalman filter approach allows the incorporation of robot motion information, more accurate beacon modelling and the capability of processing data from more than four beacons, the minimum number required for localisation.
In the emerging paradigm of animate vision, the visual processes are not thought of as being independent of cognitive or motor processing, but as an integrated system within the context of visual behavior. Intimate co...
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In the emerging paradigm of animate vision, the visual processes are not thought of as being independent of cognitive or motor processing, but as an integrated system within the context of visual behavior. Intimate coupling of sensory and motor systems have found to improve significantly the performance of behavior based vision systems. In order to study active vision systems one requires sensory-motor systems. Designing, building, and operating such a test bed is a challenging task. In this paper we describe the status of on-going work in developing a sensory-motor robotic system, R2H, with ten degrees of freedoms (DOF) for research in active vision. To complement the R2H system a Graphical Simulation and Animation (GSA) environment is also developed. The objective of building the GSA system is to create a comprehensive design tool to design and study the behavior of active systems and their interactions with the environment. GSA system aids the researchers to develop high performance and reliable software and hardware in a most effective manner. The GSA environment integrates sensing and motor actions and features complete kinematic simulation of the R2H system, it's sensors and it's workspace. With the aid of the GSA environment a Depth from Focus (DFF), Depth from Vergence, and Depth from Stereo modules are implemented and tested. The power and usefulness of the GSA system as a research tool is demonstrated by acquiring and analyzing images in the real and virtual worlds using the same software implemented and tested in the virtual world.
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