Sökning: "Dynamic obstacle avoidance"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Dynamic obstacle avoidance.

1. 1. Safety-Critical Teleoperation with Time-Varying Delays : MPC-CBF-based approaches for obstacle avoidance

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

   Författare :Riccardo Periotto; [2023]
   Nyckelord :Robust Control Barrier Functions RCBFs ; Model Predictive Control MPC ; Obstacle Avoidance; Time-Varying Delays; Teleoperation; Robust Control Barrier Functions RCBFs ; Model Predictive Control MPC ; Obstacle Avoidance; Time-Varying Delays; Teleoperation;

   Sammanfattning : The thesis focuses on the design of a control strategy for safety-critical remote teleoperation. The main goal is to make the controlled system track the desired velocity specified by a human operator while avoiding obstacles despite communication delays. LÄS MER

3. 2. Velocity Obstacle method adapted for Dynamic Window Approach

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

   Författare :Florian Coissac; [2023]
   Nyckelord :Autonomous navigation; Local planning; Dynamic obstacle avoidance; ROS; Autonom navigering; Lokal planering; Dynamiskt undvikande av hinder; ROS;

   Sammanfattning : This thesis project is part of an internship at Visual Behavior. The company aims at producing computer vision models for robotics, helping the machine to better understand the world through the camera eye. The image holds many features that deep learning models are able to extract: navigable area, depth inference and object detection. LÄS MER

4. 3. Deep Reinforcement Learning on Social Environment Aware Navigation based on Maps

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

   Författare :Victor Sanchez; [2023]
   Nyckelord :Deep Reinforcement Learning; Environment-aware navigation; Robotics; Artificial Intelligence; Apprentissage par renforcement profond; Navigation consciente de l’humain; Intelligence Artificielle; Robotique; Djup Förstärkande Inlärning; Människomedveten navigering; Robotik; Artificiell Intelligens;

   Sammanfattning : Reinforcement learning (RL) has seen a fast expansion in recent years of its successful application to a range of decision-making and complex control tasks. Moreover, deep learning offers RL the opportunity to enlarge its spectrum of complex fields. LÄS MER

5. 4. Development of a real-time navigation and collisionavoidance system for an autonomous naval rover : A Contribution to the Environmental Initiative for Flexible andReal-time Water Monitoring of the CatFish team

   Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Esmee Tackx; [2023]
   Nyckelord :;

   Sammanfattning : This thesis explores the design and optimisation of a sensor system for real-time position determination of the Fish component in the CatFish naval drone and the development of a sonar sensor system for accurate object localisation and safe navigation in dynamic and uncertain underwater conditions. Through comprehensive experimentation and analysis, this thesis demonstrates the effectiveness of the proposed sensor system and sonar sensing system in enhancing underwater navigation and obstacle avoidance capabilities. LÄS MER

7. 5. Autonomous 3D exploration with dynamic obstacles : Towards Intelligent Navigation and Collision Avoidance for Autonomous 3D Exploration with dynamic obstacles

   Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Författare :Ludvig Widén; Emil Wiman; [2023]
   Nyckelord :;

   Sammanfattning : The advancements within robotics in recent years has increased the demand for sophisticated algorithms that can tackle the challenges associated with building robust and safe autonomous systems. The objective of 3D exploration is to enable a robot to explore an unknown environment with a high degree of accuracy while minimizing time and path length. LÄS MER