Essays about: "Kontrollbarriärfunktioner"

Showing result 1 - 5 of 6 essays containing the word Kontrollbarriärfunktioner.

  1. 1. Improving Behavior Trees that Use Reinforcement Learning with Control Barrier Functions : Modular, Learned, and Converging Control through Constraining a Learning Agent to Uphold Previously Achieved Sub Goals

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Jannik Wagner; [2023]
    Keywords : Behavior Trees; Reinforcement Learning; Control Barrier Functions; Robotics; Artificial Intelligence; Verhaltensbäume; Verstärkendes Lernen; Kontrollbarrierefunktionen; Robotik; Künstliche Intelligenz; Beteendeträd; Förstärkningsinlärning; Kontrollbarriärfunktioner; Robotik; Artificiell Intelligens;

    Abstract : This thesis investigates combining learning action nodes in behavior trees with control barrier functions based on the extended active constraint conditions of the nodes and whether the approach improves the performance, in terms of training time and policy quality, compared to a purely learning-based approach. Behavior trees combine several behaviors, called action nodes, into one behavior by switching between them based on the current state. READ MORE

  3. 2. Control Barrier Functions for Formation Control of Leader-follower Multi-agent Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tianrun Sun; [2023]
    Keywords : Multi-agent System; Leader-follower System; Formation Control; Control Barrier Function; Connectivity Maintenance; Multi-agent-system; Leader-follower-system; Formations Kontroll; Kontroll Barriär Funktion; Underhåll av Anslutningsmöjligheter;

    Abstract : This thesis studies formation control for a class of general leader-follower multi-agent systems with Control Barrier Functions (CBFs) such that connectivity maintenance is fulfilled for all the neighboring agents. In leader-follower multi-agent systems, only the leader agents are controlled by the externally designed input, while the followers are guided through their dynamic couplings with the neighboring agents. READ MORE

  4. 3. Application of Discrete Time High Order Control Barrier Functions for a prototype multi-spacecraft inspection of the ISS

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gregorio Marchesini; [2023]
    Keywords : Space Robotics; Control Barrier Functions; Autonomous systems; Multi-agent systems;

    Abstract : In the past few years, the application of Control Barrier Functions (CBF) and High Order Control Barrier Functions (HOCBF) as a suitable framework to ensure safety for autonomous systems has attracted increasing interest. In particular, autonomous space systems are frequently subject to safety-critical constraints due to the high costs involved in manufacturing and launching. READ MORE

  5. 4. Control barrier function-enabled human-in-the-loop control for multi-robot systems : Centralized and distributed approaches

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Victor Nan Fernandez-Ayala; [2022]
    Keywords : Multi-robot systems; Human-in-the-loop control; Control barrier functions; Safety constraints; ROS Implementation; Multirobotsystem; Human-in-the-loop-kontroll; Kontrollera barriärfunktionerna; Säkerhetsbegränsningar; ROS-implementering;

    Abstract : Autonomous multi-robot systems have found many real-world applications in factory settings, rescue tasks and light shows. Albeit these successful applications, the multi-robot system is usually pre-programmed with limited flexibility for online adaptation. READ MORE

  6. 5. An input-sample method for zonotopic obstacle avoidance with discrete-time control barrier functions

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Xiong Xiong; [2022]
    Keywords : Control barrier functions; RRT; Discrete-time Control barrier function; Input sample; Kontrollbarriärfunktion; RRT; diskret tid Kontrollbarriärfunktion; inmatningsprov;

    Abstract : In this thesis, we consider the motion planning problem for an autonomous vehicle in an obstacle-cluttered environment approximated by zonotopes, and we propose an input sampling algorithm leveraging discrete-time control barrier function conditions (DCBF). Specifically, an optimization-based control barrier function that takes into account the geometric shapes of the vehicle and obstacles is constructed and verified. READ MORE