Ara es mostren els items 19-32 de 32

    • Robot learning from demonstration in the force domain 

      Rozo Castañeda, Leonel; Jiménez Schlegl, Pablo; Torras, Carme (2011)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Researchers are becoming aware of the importance of other information sources besides visual data in robot learning by demonstration (LbD). Forcebased perceptions are shown to convey very relevant information – missed by ...
    • Robot learning from demonstration of force-based tasks with multiple solution trajectories 

      Rozo Castañeda, Leonel; Jiménez Schlegl, Pablo; Torras, Carme (2011)
      Text en actes de congrés
      Accés obert
      A learning framework with a bidirectional communication channel is proposed, where a human performs several demonstrations of a task using a haptic device (providing him/her with force-torque feedback) while a robot captures ...
    • Robot learning of container-emptying skills through haptic demonstration 

      Rozo Castañeda, Leonel; Jiménez Schlegl, Pablo; Torras, Carme (2009)
      Report de recerca
      Accés obert
      Locally weighted learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration. Input streams other than visual information, as used in most ...
    • Shared task representation for human–robot collaborative navigation: the collaborative search case 

      Dalmasso Blanch, Marc; Domínguez Vidal, José Enrique; Torres Rodriguez, Ivan Jesús; Jiménez Schlegl, Pablo; Garrell Zulueta, Anais; Sanfeliu Cortés, Alberto (Springer, 2023-10-30)
      Article
      Accés obert
      Recent research in Human Robot Collaboration (HRC) has spread and specialised in many sub-fields. Many show considerable advances, but the human–robot collaborative navigation (HRCN) field seems to be stuck focusing on ...
    • Sharpening haptic inputs for teaching a manipulation skill to a robot 

      Rozo Castañeda, Leonel; Jiménez Schlegl, Pablo; Torras, Carme (2010)
      Text en actes de congrés
      Accés obert
      Gaussian mixtures-based learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration (PbD). Input streams other than visual information, as used ...
    • Software tools for the cognitive development of autonomous robots 

      Jiménez Schlegl, Pablo (2017)
      Text en actes de congrés
      Accés obert
      Robotic systems are evolving towards higher degrees of autonomy. This paper reviews the cognitive tools available nowadays for the fulfilment of abstract or long-term goals as well as for learning and modifying their behaviour.
    • Software tools for the cognitive development of autonomous robots 

      Jiménez Schlegl, Pablo (Richardson Institute - Lancaster University, 2018)
      Comunicació de congrés
      Accés obert
      The University of Barcelona, in collaboration with different Spanish and foreign institutions and universities, hosted an international workshop on the ‘Sense and Scope of Autonomy in Emerging Military and Security ...
    • Survey on assembly sequencing : a combinatorial and geometrical perspective 

      Jiménez Schlegl, Pablo (2013)
      Article
      Accés restringit per política de l'editorial
      A systematic overview on the subject of assembly sequencing is presented. Sequencing lies at the core of assembly planning, and variants include finding a feasible sequence—respecting the precedence constraints between the ...
    • Survey on assembly sequencing: a combinatorial and geometrical perspective 

      Jiménez Schlegl, Pablo (2013)
      Article
      Accés obert
      A systematic overview on the subject of assembly sequencing is presented. Sequencing lies at the core of assembly planning, and variants include finding a feasible sequence—respecting the precedence constraints between the ...
    • Survey on model-based manipulation planning of deformable objects 

      Jiménez Schlegl, Pablo (2012)
      Article
      Accés obert
      A systematic overview on the subject of model-based manipulation planning of deformable objects is presented. Existing modelling techniques of volumetric, planar and linear deformable objects are described, emphasizing the ...
    • Understanding motion planning better: a comparative review of “Principles of robot motion: theory, algorithms, and implementations”, by H. Choset et al. 

      Jiménez Schlegl, Pablo (Elsevier, 2007)
      Article
      Accés obert
      The textbook on Motion Planning “Principles of Robot Motion: Theory, Algorithms, and Implementations”, by H. Choset et al., MIT Press, appeared on June 2005, is reviewed and compared to other two textbooks on the same ...
    • Visual grasp point localization, classification and state recognition in robotic manipulation of cloth: an overview 

      Jiménez Schlegl, Pablo (2017)
      Article
      Accés obert
      Cloth manipulation by robots is gaining popularity among researchers because of its relevance, mainly (but not only) in domestic and assistive robotics. The required science and technologies begin to be ripe for the ...
    • Visually-guided robot navigation: from artificial to natural landmarks 

      Celaya Llover, Enric; Albarral Garcia, Jose Luis; Jiménez Schlegl, Pablo; Torras, Carme (2007)
      Text en actes de congrés
      Accés obert
      Landmark-based navigation in unknown unstructured environments is far from solved. The bottleneck nowadays seems to be the fast detection of reliable visual references in the image stream as the robot moves. In our research, ...
    • Visually-guided robot navigation: From artificial to natural landmarks 

      Celaya Llover, Enric; Albarral, José L.; Jiménez Schlegl, Pablo; Torras, Carme (Springer, 2007)
      Capítol de llibre
      Accés obert
      Landmark-based navigation in unknown unstructured environments is far from solved. The bottleneck nowadays seems to be the fast detection of reliable visual references in the image stream as the robot moves. In our research, ...