Sökning: "Motion planning and control"

Visar resultat 1 - 5 av 74 uppsatser innehållade orden Motion planning and control.

  1. 1. Multi-Robot Motion Planning Under High-Level Task Specifications

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Axel Abrahamsson; Lukas Granqvist; [2023]
    Nyckelord :;

    Sammanfattning : This bachelor thesis explores the use of Signal Temporal Logic (STL) and ControlBarrier Functions (CBFs) to address the challenges associated with multi-robot motionplanning under high-level task specifications. STL is a formalism used to specify temporalproperties of signals, while CBFs are used to enforce safety constraints. LÄS MER

  3. 2. Coverage Motion Planning for Search and Rescue Missions : A Costmap Based Approach for fixed wing UAVs using Simulated Annealing &Cubic Splines

    Master-uppsats, Karlstads universitet/Institutionen för ingenjörsvetenskap och fysik (from 2013)

    Författare :Fredrik Rönnkvist; [2023]
    Nyckelord :Motion planning; Path planning; Cubic splines; Coverage path planning.;

    Sammanfattning : The present study proposes a novel approach to Coverage Path Planning for unmanned aerial vehicle (UAV) inspired by the Orienteering Problem. The main goal is to develop an algorithm suitable for Search and Rescue Missions, which can produce a search pattern with dynamical constrains, that is not limited to the traditional back-and-forth motion or spiral patterns. LÄS MER

  4. 3. Traction Adaptive Motion Planning for Autonomous Racing

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Shekhar Raikar; [2022]
    Nyckelord :Autonomous vehicles; Motion planning and control; Traction-adaptive; Localization; Robotics; GPU Sampling; Augmented Real Time Iteration.; Autonoma fordon; Rörelseplanering och kontroll; Traction adaptiv; Lokalisering; Robotik; GPU Sampling Augmented Real Time Iteration;

    Sammanfattning : Autonomous driving technology is continuously evolving at an accelerated pace. The road environment is always uncertain, which requires an evasive manoeuvre that an autonomous vehicle can take. LÄS MER

  5. 4. Intelligent Drone Swarms : Motion planning and safe collision avoidance control of autonomous drone swarms

    Master-uppsats, Linköpings universitet/Institutionen för systemteknik

    Författare :Hilding Gunnarsson; Adam Åsbrink; [2022]
    Nyckelord :Artificial Potential Field APF ; Control Barrier Function CBF ; Leader Follower control; Micro Aerial Vehicle MAV ; Optimal motion planning;

    Sammanfattning : The use of unmanned aerial vehicles (UAV), so-called drones, has been growingrapidly in the last decade. Today, they are used for, among other things, monitoring missions and inspections of places that are difficult for people to access. Toefficiently and robustly execute these types of missions, a swarm of drones maybe used, i.e. LÄS MER

  7. 5. Data-Driven Motion Planning : With Application for Heavy Duty Vehicles

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Oscar Palfelt; [2022]
    Nyckelord :Motion planning; Deep learning; Autonomous driving; Nonuniform sampling; Rörelseplanering; Djupinlärning; Autonom körning; Ojämn provtagning;

    Sammanfattning : Motion planning consists of finding a feasible path of an object between an initial state and a goal state, and commonly constitutes a sub-system of a larger autonomous system. Motion planners that utilize sampling-based algorithms create an implicit representation of the search space via sampling said search space. LÄS MER