Sökning: "evolutionary robotics"

Visar resultat 1 - 5 av 9 avhandlingar innehållade orden evolutionary robotics.

  1. 1. Learning Behavior Trees for Collaborative Robotics

    Författare :Matteo Iovino; Christian Smith; Karinne Ramírez-Amaro; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Collaborative Robotics; Behavior Trees; Datalogi; Computer Science;

    Sammanfattning : This thesis aims to address the challenge of generating task plans for robots in industry-relevant scenarios. With the increase in small-batch production, companies require robots to be reprogrammed frequently for new tasks. However, maintaining a team of operators with specific programming skills is only cost-efficient for large-scale production. LÄS MER

  2. 2. Dynamic Resampling for Preference-based Evolutionary Multi-objective Optimization of Stochastic Systems : Improving the efficiency of time-constrained optimization

    Författare :Florian Siegmund; Kalyanmoy Deb; Amos H.C. Ng; Sanaz Mostaghim; Högskolan i Skövde; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Evolutionary multi-objective optimization; simulation-based optimization; guided search; preference-based optimization; reference point; decision support; noise; stochastic systems; dynamic resampling; budget allocation; sequential sampling; hybrid; ranking and selection; Natural sciences; Naturvetenskap; Technology; Teknik; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Sammanfattning : In preference-based Evolutionary Multi-objective Optimization (EMO), the decision maker is looking for a diverse, but locally focused non-dominated front in a preferred area of the objective space, as close as possible to the true Pareto-front. Since solutions found outside the area of interest are considered less important or even irrelevant, the optimization can focus its efforts on the preferred area and find the solutions that the decision maker is looking for more quickly, i. LÄS MER

  3. 3. Evolutionary Humanoids for Embodied Artificial Intelligence

    Författare :Krister Wolff; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; linear genetic programming; bipedal locomotion; humanoid robotics; evolutionary algorithms;

    Sammanfattning : The work presented in this thesis aims at investigating the potential of a proposed methodology to create a cognitive control architecture for a humanoid robot. This architecture comprises three hierarchical layers: the reactive layer, the model building layer, and the reasoning layer. LÄS MER

  4. 4. Generation and Optimization of Motor Behaviors in Real and Simulated Robots

    Författare :Krister Wolff; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; behavior-based robotics; bipedal robots; behavior selection; evolutionary robotics; linear genetic programming; autonomous robots;

    Sammanfattning : In this thesis, the problems of generating and optimizing motor behaviors for both simulated and real, physical robots have been investigated, using the paradigms of evolutionary robotics and behavior-based robotics. Specifically, three main topics have been considered: (1) On-line evolutionary optimization of hand-coded gaits for real, physical bipedal robots. LÄS MER

  5. 5. Evolutionary optimisation of a morphological image processor for embedded systems

    Författare :Andreas Magnusson; Högskolan i Borås; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; embedded system; machine vision; morphological image processing; genetic algorithm; Energi och material;

    Sammanfattning : The work presented in this thesis concerns the design, development and implementation of two digital components to be used, primarily, in autonomously operating embedded systems, such as mobile robots. The first component is an image coprocessor, for high-speed morphological image processing, and the second is a hardware-based genetic algorithm coprocessor, which provides evolutionary computation functionality for embedded applications. LÄS MER