Object-oriented vision for a behavior-based robot Rainer Bischoff, Volker Graefe, Klaus Peter Wershofen Institute of Measurement Science, Federal Armed Forces University MunichNeubiberg, Germany; Phone: +

Source URL: robotik.w3.rz.unibw-muenchen.de

• Robot control
• Vision
• Robot
• Mobile robot
• Autonomous robot
• Cognitive robotics
• Object recognition
• Motion planning
• Pose
• Computer vision
• Robotics
• Artificial intelligence

Aligning 3D Models to RGB-D Images of Cluttered Scenes Saurabh Gupta UC Berkeley Pablo Arbel´aez Universidad de los

Source URL: www.cs.berkeley.edu

• Optics
• Visual effects
• Image processing
• Robot control
• 3D computer graphics
• Segmentation
• Object recognition
• Pose
• 3D modeling
• Imaging
• Computer vision
• Vision

RobotikBerlin, JuniNatürlichsprachliche Steuerung eines anthropomorphen Serviceroboters mit Gesichts- und Tastsinn Natural Language-Based Control of an Anthropomorphic Service Robot with Visual and Haptic

Source URL: robotik.w3.rz.unibw-muenchen.de

XIV Imeko World Congress. Tampere, 6/97 Robot Vision without Calibration Volker Graefe Institute of Measurement Science Universität der Bw München

Source URL: robotik.w3.rz.unibw-muenchen.de

• Mobile robot
• Pose
• ROS
• Industrial robot
• Care-Providing Robot FRIEND
• Robotics
• Robot control
• Robot

Robotic Mapping: A Survey Sebastian Thrun February 2002 CMU-CSSchool of Computer Science

Source URL: www.societyofrobots.com

• Signal processing
• Electronic engineering
• Control theory
• Robot control
• Occupancy grid mapping
• Estimation theory
• Simultaneous localization and mapping
• Recursive Bayesian estimation
• Kalman filter
• Robot navigation
• Linear filters
• Statistics

A Bionic Approach to the Design of Dependable Intelligent Robots Volker Graefe and Rainer Bischoff Intelligent Robots Laboratory Bundeswehr University MunichNeubiberg, Germany

Source URL: robotik.w3.rz.unibw-muenchen.de

• Robot control
• Artificial intelligence
• Humanoid robots
• Industrial robot
• Manufacturing
• Robot
• Mobile robot
• Cognitive robotics
• Autonomous robot
• Technology
• Robotics
• Mechanical engineering

Problem 1. When derived from first principles, the analysis equation for a linear observation operator H is ¯ xa = h i

Source URL: www.jcsda.noaa.gov

• Linear filters
• Kalman filter
• Robot control
• Variance
• Standard error
• Errors and residuals in statistics
• Standard deviation
• Statistics
• Data analysis
• Regression analysis

A Distributed Cooperative Framework for Continuous Multi-Projector Pose Estimation Tyler Johnson, Greg Welch, Henry Fuchs, Eric La Force and Herman Towles∗ University of North Carolina at Chapel Hill Figure 1: A two-p

Source URL: www.cs.unc.edu

• Projectors
• Vision
• Artificial intelligence
• Cybernetics
• Pose
• Kalman filter
• Structured light
• Projection screen
• Robot control
• Computer vision
• Display technology

• Virginia Commonwealth University (VCU) • Yuichi Motai, Ph.D. • 5 Ph.D. Students in Electrical and Computer Engineering at VCU, Many VCU Colleagues, 3 Medical Faculty Members at MCV, and at Harvard Medical School.

Source URL: www.iarpa.gov

• Electronic engineering
• Markov models
• Linear filters
• Estimation theory
• Kalman filter
• Robot control
• Control theory
• Cybernetics

2012 IEEE International Conference on Robotics and Automation RiverCentre, Saint Paul, Minnesota, USA May 14-18, 2012 Semi-parametric Models for Visual Odometry Vitor Guizilini and Fabio Ramos

Source URL: www-personal.acfr.usyd.edu.au

• Visual odometry
• Robot control
• Kalman filter
• Egomotion
• Optical flow
• Bundle adjustment
• Omnidirectional camera
• Regression analysis
• Gaussian process
• Statistics
• Surveying
• Robotic sensing