F.L. Lewis, Assoc. Director for Research Moncrief-O’Donnell Endowed Chair Head, Controls, Sensors, MEMS Group Automation & Robotics Research Institute (ARRI) The University of Texas at Arlington

Source URL: vlab.ee.nus.edu.sg

CVPR 2014 Visual SLAM Tutorial Kintinuous Michael Kaess The Robotics Institute Carnegie Mellon University

Source URL: frc.ri.cmu.edu

Re-Engineering Evolution: A Study In Self-Organising Synchronisation Vito Trianni and Stefano Nolfi Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy

Source URL: www.swarmanoid.org

• Evolutionary robotics
• Swarm robotics
• Robot
• Ant robotics
• Cog
• Swarm behaviour
• Autonomous robot
• Stefano Nolfi
• Outline of robotics
• Robotics
• Artificial intelligence
• Evolutionary computation

INSTITUTE OF CREATIVE TECHNOLOGIES What we’re about – We are a research institute working at the leading edge of creative technologies. Through our unique research environment, we aim to develop cultural and creative

Source URL: www.ioct.dmu.ac.uk

• Human–robot interaction
• Multimodal interaction
• Robot
• Andrew Hugill
• Creativity
• De Montfort University
• Mind
• Psychology
• Transliteracy
• Robotics
• Education
• Human communication

ALife in Humanoids: Developing a Framework to Employ Artificial Life Techniques for High-Level Perception and Cognition Tasks on Humanoid Robots J¨urgen Leitner1 , Simon Harding2 , Mikhail Frank1 , Alexander F¨orster1

Source URL: juxi.net

• Science
• Science and technology in Europe
• Robotics
• Artificial intelligence
• ICub
• Massachusetts Institute of Technology
• Humanoid robot
• Artificial life
• Cognitive robotics
• Mind
• Philosophy of mind
• Knowledge

Acoustic field calibration for noise prediction: the CALCOM’10 data set N´elson Martins, Paulo Felisberto and S´ergio M. Jesus Institute for Systems and Robotics University of AlgarveFaro, Portugal

Source URL: www.siplab.fct.ualg.pt

• Petroleum
• Geology
• Physics
• Geophysics
• Geostatistics
• Mechanics
• Underwater acoustics
• Sound pressure
• Acoustics
• Inverse problem

Approximate Parameter Learning in Discriminative Fields Sanjiv Kumar and Martial Hebert The Robotics Institute Carnegie Mellon University Pittsburgh, PA 15213

Source URL: www.sanjivk.com

• M-estimators
• Econometrics
• Bayesian statistics
• Maximum likelihood
• Likelihood function
• Loss function
• Statistics
• Estimation theory
• Statistical theory

Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification Sanjiv Kumar and Martial Hebert The Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA, {skumar,

Source URL: www.sanjivk.com

• Theoretical computer science
• Probability
• Graphical models
• Statistical models
• Bayesian statistics
• Conditional random field
• Discriminative model
• Generative model
• Markov random field
• Statistics
• Machine learning
• Probability and statistics

An Introduction to Physically Based Modeling: Rigid Body Simulation II—Nonpenetration Constraints David Baraff Robotics Institute Carnegie Mellon University

Source URL: www.cs.cmu.edu

• Archimedean solids
• Quasiregular polyhedra
• Computational physics
• Platonic solids
• Polytopes
• Collision detection
• Polyhedron
• Truncated cube
• Cube
• Geometry
• Convex geometry
• Euclidean geometry

Ensuring Safety in Human Robot Collaboration in Assembly Applications Satyandra K. Gupta, Krishnanand Kaipa, Carlos Morato, and Boxuan Zhao Human Robot Collaboration

Source URL: terpconnect.umd.edu

• Massachusetts Institute of Technology
• Robot
• Cognitive robotics
• Cog
• Mechanical engineering
• Robotics
• Humanoid robots
• Artificial intelligence