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  • Synonyms and antonyms of limp in the English dictionary of synonyms.

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Taylor December 6, The use of sensors is essential for reliable robotic handling of these materials, which are often based on naturally occurring substances such as cotton and leather. The materials are limp and have non-homogeneous mechanical properties which are often impossible to predict accurately. The applications are very demanding for vision and tactile sensing and signal processing, adaptive control systems, planning and systems integration.

LIMP - Definition and synonyms of limp in the English dictionary

The aim of the workshop was to examine the state of the art and determine what research is needed to provide the theoretical and technological tools for the successful application of sensory robotics to the handling of limp materials. The meeting also acted as the first-ever forum for the interchange of knowledge between applications-driven researchers and those researching into the provision of fundamental tools. The participants were drawn from academia 20 , industry 5 , and other non-university research organisations 5. Reviews Review Policy.

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See more. Mapping and Spatial Modelling for Navigation. Book The successful implementation of applications in spatial reasoning requires paying attention to the representation of spatial data.

Multifunctional Soft Robots

In particular, an integrated and uniform treatment of different spatial features is necessary in order to enable the reasoning to proceed quickly. Currently, the most prevalent features are points, rectangles, lines, regions, surfaces, and volumes. As an example of a reasoning task consider a query of the form "find all cities with population in excess of 5, in wheat growing regions within 10 miles of the Mississippi River. It requires- processing a line map for the river , creating a corridor or buffer to find the area within 10 miles of the river , a region map for the wheat , and a point map for the cities.

Spatial reasoning is eased by spatially sorting the data i. In this paper we show how hierarchical data structures can be used to facilitate this process. They are based on the principle of recursive decomposition similar to divide and conquer methods. In essence, they are used primarily as devices to sort data of more than one dimension and different spatial types. The term quadtree is often used to describe this class of data structures.

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In this paper, we focus on recent developments in the use of quadtree methods. We concentrate primarily on region data.

Sensor-Based Robots: Algorithms and Architectures. Most industrial robots today have little or no sensory capability. Feedback is limited to information about joint positions, combined with a few interlock and timing signals. These robots can function only in an environment where the objects to be manipulated are precisely located in the proper position for the robot to grasp i. For many present industrial applications, this level of performance has been adequate.

With the increasing demand for high performance sensor-based robot manipulators in assembly tasks, meeting this demand and challenge can only be achieved through the consideration of: 1 efficient acquisition and processing of intemaVextemal sensory information, 2 utilization and integration of sensory information from various sensors tactile, force, and vision to acquire knowledge in a changing environment, 3 exploitation of inherent robotic parallel algorithms and efficient VLSI architectures for robotic computations, and finally 4 system integration into a working and functioning robotic system.

This is the intent of the Workshop on Sensor-Based Robots: Algorithms and Architectures - to study the fundamental research issues and problems associated with sensor-based robot manipulators and to propose approaches and solutions from various viewpoints in improving present day robot manipula tors in the areas of sensor fusion and integration, sensory information processing, and parallel algorithms and architectures for robotic computations.

Designing Hypermedia for Learning. The idea for the workshop resulted from the burgeoning interest in hypertext combined with the frustrating lack of literature on leaming applications for hypertext. There was little evidence in that hypertext could successfully support learning out comes. A few projects were investigating hypertext for learning, but few conclusions were available and little if any advice on how to design hyper text for learning applications was available.

Could hypertext support learning objectives? What mental processing requirements are unique to learning outcomes? How would the processing requirements of learning outcomes interact with unique user processing requirements of browsing and constructing hypertext? Should hypertext information bases be restruc tured to accommodate learning outcomes? Should the user interface be manipulated in order to support the task functionality of learning outcomes?

Does the hypertext structure reflect the intellectual requirements of learning outcomes? What kinds of learning-oriented hypertext systems were being developed and what kinds of assumptions were these systems making? These and other questions demonstrated the need for this workshop. The workshop included presentations, hardware demonstrations, sharing and browsing of hypertexts, and much discussion about all of the above.