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Showing 1 to 20 of 77 for “"robot control"”.

  1. Smartphone-based robot control for localisation

    This project developed to use smartphone as a robot controller since it’s more powerful and equipped with several sensors that are useful for robots. The project uses Android application as well as Arduino microcontroller to locate and control the robot via DTMF tone from distance. Magnetometer and …

    uthm Repository record for Smartphone-based robot control for localisation (opens in a new tab)

  2. Computational algorithms for adaptive robot control

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1990.

    mit Repository record for Computational algorithms for adaptive robot control (opens in a new tab)

  3. Java-based MIDI interface for robot control

    Robot offers an excellent means of utilizing high level technology to make a given manufacturing operation more profitable and competitive. Apart from manufacturing, robots are also being utilized in the areas of medicine and agriculture with great returns. Robotic applications now require multiple …

    wvu Repository record for Java-based MIDI interface for robot control (opens in a new tab)

  4. High-speed robot control in complex environments

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1988.

    mit Repository record for High-speed robot control in complex environments (opens in a new tab)

  5. Mobile robot control and navigation in public spaces

    Public service robots have been more and more popular due to their social and economical influences. This thesis investigated two issues about control and navigation of public service robots deployed in crowded environments such as airports and shopping malls. Our solutions facilitates the synergy …

    mit Repository record for Mobile robot control and navigation in public spaces (opens in a new tab)

  6. A Robot Operating System (ROS) based humanoid robot control

    … the capability of a commercially available robot, namely, Robotis Bioloid Premium Humanoid Robot (BPHR). BeagleBone Black (BBB), the decision-making and implementing (intelligence providing) component, with multifunctional capabilities is used in this research. Robot operating System (ROS) …

    middlesex Repository record for A Robot Operating System (ROS) based humanoid robot control (opens in a new tab)

  7. LEARNING STRUCTURED ALIGNMENT: FROM VISUAL UNDERSTANDING TO ROBOT CONTROL

    … data and the increasing demand for intelligent robotic systemshave created a pressing need for methods that can establish meaningful correspondences and relationships across diverse visual modalities and robotic tasks. This dissertation addresses the fundamental challenge of learning structured …

    maryland Repository record for LEARNING STRUCTURED ALIGNMENT: FROM VISUAL UNDERSTANDING TO ROBOT CONTROL (opens in a new tab)

  8. A gradient optimization approach to adaptive multi-robot control

    This thesis proposes a unified approach for controlling a group of robots to reach a goal configuration in a decentralized fashion. As a motivating example, robots are controlled to spread out over an environment to provide sensor coverage. This example gives rise to a cost function that is shown …

    mit Repository record for A gradient optimization approach to adaptive multi-robot control (opens in a new tab)

  9. A perturbation/correlation approach to force-guided robot control

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1996.

    mit Repository record for A perturbation/correlation approach to force-guided robot control (opens in a new tab)

  10. A modular expandable design for mobile robot control software

    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.

    mit Repository record for A modular expandable design for mobile robot control software (opens in a new tab)

  11. Arbitrated robot control on the Web, system design and implementation

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.

    mit Repository record for Arbitrated robot control on the Web, system design and implementation (opens in a new tab)

  12. The macro/micro manipulator : an improved architecture for robot control

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1989.

    mit Repository record for The macro/micro manipulator : an improved architecture for robot control (opens in a new tab)

  13. Model Abstraction in Dynamical Systems: Application to Mobile Robot Control

    To reduce complexity of system analysis and control design, simplified models that capture the behavior of interest in the original system can be obtained. These simplified models, called abstractions, can be analyzed more easily than the original complex model. Hierarchies of consistent …

    vt Repository record for Model Abstraction in Dynamical Systems: Application to Mobile Robot Control (opens in a new tab)

  14. Integral Manifold in System Design With Application to Flexible Link Robot Control

    … manifold concept is used in this thesis for controller design in various problems. A definition and the conditions for the existence of the integral manifold are given. Integral manifolds in linear systems are analyzed with special attention given to how the linear system possesses an input …

    uiuc Repository record for Integral Manifold in System Design With Application to Flexible Link Robot Control (opens in a new tab)

  15. Design of a force-feedback touch-inducing actuator for teleoperator robot control

    Thesis (B.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering; and, (B.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1983.

    mit Repository record for Design of a force-feedback touch-inducing actuator for teleoperator robot control (opens in a new tab)

  16. Modeling robot control systems in compliant interaction with the environment. Bridging the gap between the envisioned task and the robot’s behavior

    In recent years, robotics applications increasingly rely on physically compliant interaction, which entails the deliberate compensation and exploitation of contact forces. Explicitly considering the compliant interaction between the robot and the environment is essential for successful and safe …

    bielefeld Repository record for Modeling robot control systems in compliant interaction with the environment. Bridging the gap between the envisioned task and the robot’s behavior (opens in a new tab)

  17. Robotic control: real-time architectures and multi-flock flocking

    Autonomous robotics has become a popular research topic in the recent years. This dissertation deals with two areas of autonomous robotic research. The first area covered is mobile robot control architectures. The second area covered is robot flocking. The dissertation first asks the question: …

    alabama Repository record for Robotic control: real-time architectures and multi-flock flocking (opens in a new tab)

  18. A mixed-initiative framework for multi-agent human-robot teams

    Robots and autonomous systems are expanding into more complex, dynamic, and human-centered operating domains. In such domains, neither full autonomy nor full human control are ideal and the appropriate level of autonomy is contextually-dependent. Mixed-initiative systems enable flexible autonomy, …

    texas Repository record for A mixed-initiative framework for multi-agent human-robot teams (opens in a new tab)

  19. Exploiting Reward Machines with Deep Reinforcement Learning in Continuous Action Domains

    Deep reinforcement learning can solve real-world robot control problems, such as autonomous driving and robotic arm manipulation. In deep reinforcement learning, an agent does not know the problem description and learns the optimal solution through trial-and-error. This method brings two major …

    york Repository record for Exploiting Reward Machines with Deep Reinforcement Learning in Continuous Action Domains (opens in a new tab)

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