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Robot Learning by Visual Observation by Farrokh Janabi-Sharifi, Aleksandar Vakanski

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Index

  • a

  • AR. see augmented reality (AR)
  • assembly‐plan‐from‐observation (APO) method
  • augmented reality (AR)
  • automated guided vehicles (AGVs)
  • automatic programming systems
  • b

  • backward algorithm
  • Bakis left‐right topology
  • Baum–Welch
    • algorithm
    • parameter estimation formulas
  • Bayesian belief networks
  • Bayesian information criterion
  • Bayes theorem
  • BFGS. see Broyden–Fletcher–Goldfarb–Shanno (BFGS)
  • boundary conditions
  • Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm
  • c

  • camera calibration errors
  • camera modeling errors
  • canonical variable
  • Cartesian pose
  • Cartesian space
    • constraints
  • clique
  • close‐range photogrammetric techniques
  • clustering techniques
  • compliant motions
  • conditional random fields (CRFs)
    • clique
    • forward–backward algorithm
    • linear chain
    • maximal cliques
    • training and inference
  • constraints
    • Cartesian space
    • image‐space
    • robot manipulator
    • vision sensor
  • controller‐specific programming language
  • convex optimization
    • problem
  • covariance function
  • covariance matrix
    • Cartesian trajectories
    • eigenvectors of
  • CRFs. see conditional random fields (CRFs)
  • curve smoothing techniques
  • d

  • damped least squares method
  • data acquisition system
  • data points
  • data preprocessing techniques
  • data scaling
  • dataset
  • Denavit–Hartenberg convention
  • DMPs. see dynamic motion primitives (DMPs)
  • dot tracker method
  • dynamical systems approach
  • dynamic motion primitives (DMPs)
    • approach
  • dynamic time warping (DTW)
    • algorithm
    • scaling
  • e

  • electromyography (EMG) signals
  • end‐effector
  • Euclidean distance
  • Euclidean norm
  • Euler’s forward ...

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