Searching for authors named "Carme Torras" – sorted by Relevance.
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Detection of Natural Landmarks Through Multiscale Opponent Features
- This work presents a landmark detection system for a walking robot, which has to operate in unknown unstructured outdoor environments. Most landmark detection approaches are not adequate for this application, since they rely on either structured information or a priori knowledge about the landmarks.
- Cited by 5 (2 self) – Add To MetaCart
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Detecting salient cues through illumination-invariant color ratios”, Robot
- ratios
- Cited by 3 (0 self) – Add To MetaCart
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Color constancy for landmark detection in outdoor environments
- This work presents an evaluation of three color constancy techniques applied to a landmark detection system designed for a walking robot, which has to operate in unknown and unstructured outdoor environments. The first technique is the well-known image conversion to a chromaticity space, and the sec
- Cited by 1 (0 self) – Add To MetaCart
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Inferring Feasible Assemblies from Spatial Constraints
- This paper treats two different problems in the analysis of assemblies, and algorithms are described for each. The first problem is the selection of consistent sets of part feature relationships, and it corresponds to a search over possible configurations of parts that are consistent with feature se
- Cited by 9 (3 self) – Add To MetaCart
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Flagged Parallel Manipulators
- The conditions for a parallel manipulator to be flagged can be simply expressed in terms of linear dependencies between the coordinates of its leg attachments, both on the base and on the platform. These dependencies permit to describe the manipulator singularities in terms of incidences between two
- Cited by 2 (0 self) – Add To MetaCart
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Stratifying the singularity loci of a class of parallel manipulators
- Abstract—Some in-parallel robots, such as the 3-2-1 and the 3/2 manipulators, have attracted attention because their forward kinematics can be solved by three consecutive trilaterations. In this paper, we identify a class of these robots, which we call flagged manipulators, whose singularity loci ad
- Cited by 4 (2 self) – Add To MetaCart
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Neural learning invariant to network size changes
- Abstract. This paper investigates the functional invariance of neural network learning methods. By functional invariance we mean the property of producing functionally equivalent minima as the size of the network grows, when the smoothing parameters are
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Optimizing Neural Networks For The Generation Of Block Designs
- This work describes the evaluation of several search algorithms , based on optimizing neural networks, as applied to a family of problems : the generation of block-designs. Given a set (v; b; u) of parameters (v rows, b columns and u ones), a block design is any v 2 b-binary configuration that has t
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A Branch-and-Prune Algorithm for Solving Systems of Distance Constraints
- Given a set of affine varieties in R³, i.e. planes, lines, and points, the problem tackled in this paper is that of finding all possible configurations for these varieties that satisfy a set of pairwise euclidean distances between them. Many problems in Robotics -- such as the forward kinematic
- Cited by 7 (3 self) – Add To MetaCart
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A branch-and-prune solver for distance constraints
- Abstract—Given some geometric elements such as points and lines in Q, subject to a set of pairwise distance constraints, the problem tackled in this paper is that of finding all possible configurations of these elements that satisfy the constraints. Many problems in robotics (such as the position an
- Cited by 6 (4 self) – Add To MetaCart

