Sökning: "tröghetsmätningsenhet"

Visar resultat 1 - 5 av 9 uppsatser innehållade ordet tröghetsmätningsenhet.

  1. 1. Development of an acoustico-vestibular system for head rolling stabilization : Aperception system to stabilize a bio-inspired swimming snake robot

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

    Författare :Marie-Jeanne Paul; [2023]
    Nyckelord :Bio inspiration; Perception; Localisation; Benchmarking; Sensors; Kalman Ąlter; Bioinspiration; perception; lokalisering; benchmarking; sensorer; KalmanĄlter;

    Sammanfattning : Bioinspired robots are becoming more and more common and getting inspired by the solutions found in nature to tackle problems is often useful. Regarding the swimming robots Ąeld of research, we can get inspiration from swimming snakes. LÄS MER

  2. 2. Linear Position Tracking for Controlling a Robotic Arm Using Inertial Sensors : Development of a Robotic Arm and an Inertial Sensor-Based Tracking System

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

    Författare :Jesper Knobe; Tobias Pekola; [2023]
    Nyckelord :Mechatronics; Robotic Arm; Inertial Measurement Unit; Inverse Kinematics; Microcontroller; Mekatronik; Robot Arm; Tröghetsmätare; Inverterad Kinematik; Mikrokontroller;

    Sammanfattning : In the field of mechatronics, different types of robotic arms are used for various applications. Control of robotic arms from a distance is required in certain situations, such as hazardous environments. LÄS MER

  3. 3. Domain Adaptation of IMU sensors using Generative Adversarial Networks

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

    Författare :Saieshwar Radhakrishnan; [2020]
    Nyckelord :Autonomous vehicles; sensors; internal dynamics; Inertial Measurement Unit; covalidation; Generative Adversarial Network; WaveNets; LSTM.; Autonoma fordon; sensorer; intern dynamik; tröghetsmätningsenhet; samvalidering; Generative Adversarial Network; WaveNets; LSTM.;

    Sammanfattning : Autonomous vehicles rely on sensors for a clear understanding of the environment and in a heavy duty truck, the sensors are placed at multiple locations like the cabin, chassis and the trailer in order to increase the field of view and reduce the blind spot area. Usually, these sensors perform best when they are stationary relative to the ground, hence large and fast movements, which are quite common in a truck, may lead to performance reduction, erroneous data or in the worst case, a sensor failure. LÄS MER

  4. 4. Simultaneous Localization and Mapping of a small-scale vehicle using low-cost IMU, optical wheel encoders and LiDAR

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

    Författare :Niklas Brusén; [2019]
    Nyckelord :;

    Sammanfattning : This thesis explores and investigates the usage of a low cost six Degrees ofFreedom Inertial Measurement Unit, low cost photo-electric wheel encodersand one of the cheapest available single-band Light Detection and Rangingsensor to estimate the orientation and position of a small scale vehicle. Furthermore,we develop a Simultaneous Localization and Mapping approach forour sensor suite. LÄS MER

  5. 5. Impact of Time Synchronization Accuracy in Integrated Navigation Systems

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

    Författare :Hemanth Ram Kartik Bommakanti; [2019]
    Nyckelord :Real-Time Solution; Time Synchronization; Integrated Navigation System; Global Navigation Satellite System; Inertial Measurement Unit; Realtidslösning; tidssynkronisering; integrerat navigationssystem; globalt satellitbaserat navigationssystem; tröghetsmätningsenhet;

    Sammanfattning : Global Navigation Satellite System/Inertial Measurement Unit (GNSS/IMU) Integrated Navigation Systems (INS) integrate the positive features of GNSS and IMU for optimal navigation guidance in high accuracy outdoor navigation systems, for example using Extended Kalman Filter (EKF) techniques. Time synchronization of IMU data with precise GNSS based time is necessary to accurately synchronize the two systems. LÄS MER