This paper describes a reactive obstacle negotiating algorithm for articulated-tracked robots and demonstrates a working system by presenting the simulation, animation, and control methodologies for an articulated-tra...
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This paper describes a reactive obstacle negotiating algorithm for articulated-tracked robots and demonstrates a working system by presenting the simulation, animation, and control methodologies for an articulated-tracked mobile robot with a manipulator and sensory modules. Developing the motion planning strategies for robots with articulated-tracked locomotin is much different from path planning techniques developed for wheeled robots traveling on a planar surface, as the problems are not limited to solving the obstacle avoidance only, but involve finding the obstacle negotiating strategy as well. The authors have been developing tracked mobile-manipulator systems for applications in hazardous environments. A simulation, animation, visualization and interactive control (SAVIC) environment has been developed for the design and operation of a integrated robotic manipulator system.
A cursive online Hangul (Korean script) recognition system called Jokjipke based on structural character information is presented. A segmentation method that observes the variations of the graphemes type is proposed. ...
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A cursive online Hangul (Korean script) recognition system called Jokjipke based on structural character information is presented. A segmentation method that observes the variations of the graphemes type is proposed. The cursive writing between graphemes is divided into line segments using the segmentation technique. Each line segment becomes a primitive of the recognition system. From the relational structure of line segments, the feature vectors are calculated by comparing the current line segment to the other line segments in the same grapheme. The recognition is then accomplished with the best-first search process. This research calculates the line segment that has the least amount of difference between the candidate grapheme string and the reference grapheme models. After learning each grapheme by 10 different person, the system reaches a recognition rate of 81.65% of the cursive Hangul character over the 10,396 characters. That is, more than 400 of the most frequently used characters are written by 25 different persons in order to show the writing style independence.< >
There is no standard representation scheme that is followed by different groups of robot designers to describe the orientation of a rotating rigid body. For a sensor-based robot, the particular rotation representation...
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There is no standard representation scheme that is followed by different groups of robot designers to describe the orientation of a rotating rigid body. For a sensor-based robot, the particular rotation representation scheme used by the robot affects not only the specification of the positioning of the arm and end-effector, but also the specification of the placement of the sensors and the method of computing the sensory-to-world transformation. Thus the need for finding the transformation between different rotation representations is obvious for one involved in the development of high-level software systems that need to be transported to different robots utilizing different rotation representation schemes. Among those representation schemes, Euler angle representations are widely used in commercial robots as well as in researchlaboratory robots. Typically, there are three different Euler angle representation systems, and each system describes a particular orientation of a rigid body in a reference coordinate frame by specifying three angles. Mathematical derivations of the transformation relationships underlying the parameters from two most commonly utilized representation schemes are presented. These relationships are derived in two different ways. One is based upon the solution of the inverse transform for Euler angles and the other is based upon the Napier's rules associated with spherical trigonometry.
A custom IC processor that traces contours in black-and-white images is described. The CMOS IC contains a finite state machine, ALU, input delay line, and RAM. Each processor extracts the edges from a rectangular port...
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A custom IC processor that traces contours in black-and-white images is described. The CMOS IC contains a finite state machine, ALU, input delay line, and RAM. Each processor extracts the edges from a rectangular portion of the input image and traces the edges, outputting a description of the contours. A complete tracing system employs an array of these processors. The array architecture allows expansion to handle arbitrarily large images. The processors trace independently, thereby providing fully parallel high-speed operation. Partial contours are generated as a result of the partitioning of the image among the processors. A postprocessor links any partial contours created by the subdivision of the input image. The contour-tracing algorithm and simulation results for compression ratio and number of operations are presented. The architecture and measured performance of the IC are described.
Intelligent robots interact with the real world by employing their advanced sensory mechanisms to perceive their environment, and their effectors and tools to change the state of their environment. Such intelligent ro...
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A computational framework for an accurate, robust, and efficient stereo approach is developed. Most of the deficiencies prevailing in current computational models of stereo can be attributed to their use of a single, ...
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In this paper we nzake an attempt to bring out the rationale that, for complex robotic applications, contact sensors can provide certain vital information quite easily as compared to non-contact sensors. We begin with...
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This paper presents a hardware and software system for the generation of video patterns that can be used for various vision tests, particularly depth perception. Among the capabilities of the system is generation of s...
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A new edge detection technique based on anisotropic diffusion is implemented using mean field theory. This optimization approach to edge detection provides localized, thinned, and linked edges that are useful for imag...
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