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Creators/Authors contains: "Ravichandar, Harish"

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  1. ; ; ; (, IEEE Robotics and Automation Letters)
    Full Text Available 
  2. ; ; ; ; ; ; (, Éphémérides ou Almanach du département de la Charente Inférieure pour lan mil huit cent treize 1853 contenant le lever coucher déclinaison du soleil le lever coucher de la lune son passage au méridien lheure de la pleine mer létat des fonctionnaires publics civils militaires létat des foires du département de la CharenteInférieure c c)
    Accepted Manuscript Full Text Available
  3. ; ; ; (, Proceedings of Machine Learning Research)
    Accepted Manuscript Full Text Available
  4. ; ; ; (, International Conference on Robotics and Automation)
    We propose a learning framework, named Multi-Coordinate Cost Balancing (MCCB), to address the problem of acquiring point-to-point movement skills from demonstrations. MCCB encodes demonstrations simultaneously in multiple differential coordinates that specify local geometric properties. MCCB generates reproductions by solving a convex optimization problem with a multi-coordinate cost function and linear constraints on the reproductions, such as initial, target, and via points. Further, since the relative importance of each coordinate system in the cost function might be unknown for a given skill, MCCB learns optimal weighting factors that balance the cost function. We demonstrate the effectiveness of MCCB via detailed experiments conducted on one handwriting dataset and three complex skill datasets. 
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