‡We describe the use of singular value decomposition in transforming genome-wide expression data from genes 3 arrays space to reduced diagonalized ‘‘eigengenes’’ 3 ‘‘eigenarrays’’ space, where the eigengenes (or eigenarrays) are unique orthonormal superpositions of the genes (or arrays). Normalizing the data by filtering out the eigengenes (and eigenarrays) that are inferred to represent noise or experimental artifacts enables meaningful comparison of the expression of different genes across different arrays in different experiments. Sorting the data according to the eigengenes and eigenarrays gives a global picture of the dynamics of gene expression, in which individual genes and arrays appear to be classified into groups of similar regulation and function, or similar cellular state and biological phenotype, respectively. After normalization and sorting, the significant eigengenes and eigenarrays can be associated with observed genome-wide effects of regulators, or with measured samples, in which these regulators are overactive or underactive, respectively.

Singular Value Decomposition for Genome-Wide Expression Data Processing and Modeling

https://users.dimi.uniud.it/~antonio.dangelo/Robotica/2012/helper/leggedRobot/Ijspeert08NN.pdf

2008 Special Issue: Central pattern generators for locomotion control in animals and robots: A review

Bilateral teleoperation: An historical survey

RGB-D cameras (such as the Microsoft Kinect) are novel sensing systems that capture RGB images along with per-pixel depth information. In this paper we investigate how such cameras can be used for building dense 3D maps of indoor environments. Such maps have applications in robot navigation, manipulation, semantic mapping, and telepresence. We present RGB-D Mapping, a full 3D mapping system that utilizes a novel joint optimization algorithm combining visual features and shape-based alignment. Visual and depth information are also combined for view-based loop-closure detection, followed by pose optimization to achieve globally consistent maps. We evaluate RGB-D Mapping on two large indoor environments, and show that it effectively combines the visual and shape information available from RGB-D cameras.

RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments

[서평]「Component Software」 - Beyond Object-Oriented Programming -

In this paper, we describe a joint approach for robot navigation with collision avoidance, pose estimation and map building with a 2.5D Photonic Mixer Device (PMD)-camera combined with a high-resolution spherical camera. The cameras are mounted at the front of the robot with a certain inclination angle. The navigation and map building consists of two steps: when entering new terrain the robot first scans the surrounding. Simultaneously a 3D-panorama is generated from the PMD-images. In the second step, the robot moves along the pre-defined path, using the PMD-camera for collision avoidance and a combined Structure-from-Motion (SfM) and model-tracking approach for self-localisation. The computed poses of the robot are simultaneously used for map building with new measurements from the PMD-camera.

Pose estimation and map building with a Time-Of-Flight-camera for robot navigation

Mobile robots are integrated into a search and rescue team as tools for searching victims in dangerous areas that is harmful for human, as to provide the perception data for map building, and as to follow the human entity during the mission. The teleoperated control and the autonomous path following is implemented on the robots for the semiautonomous navigation in the simulated firing scenario. This paper focuses on the robot entities in the PeLoTe project (building presence through localization for hybrid telematic teams). The architecture of the software integration for mobile robots into the PeLoTe system and the experimental results are presented.

Mobile robots for search and rescue

http://www.nt.ntnu.no/users/skoge/prost/proceedings/ifac2002/data/content/02695/2695.pdf

Hubert Roth

Papers

Pose estimation and map building with a Time-Of-Flight-camera for robot navigation

Mobile robots for search and rescue

Haptic interfaces for remote control of mobile robots

Computers in manufacturing: towards successful implementation of integrated automation system

An Approach for Peg-in-Hole Assembling using Intuitive Search Algorithm based on Human Behavior and Carried by Sensors Guided Industrial Robot