• Autonomous Aerial Recovery: Fixed-wing UAV Ballistic Airdrop and Deep-Stall Landing 

      Mathisen, Siri Gulaker (Doctoral theses at NTNU;2020:61, Doctoral thesis, 2020)
      Although human beings don’t have wings, it is often very useful to fly. Or at least to use the air to transport objects. Sometimes these objects have to be delivered on normally unreachable places under difficult conditions, ...
    • Autonomous ballistic airdrop of objects from a small fixed-wing unmanned aerial vehicle 

      Mathisen, Siri Gulaker; Leira, Frederik Stendahl; Helgesen, Håkon Hagen; Gryte, Kristoffer; Johansen, Tor Arne (Peer reviewed; Journal article, 2020)
      Autonomous airdrop is a useful basic operation for a fixed-wing unmanned aerial system. Being able to deliver an object to a known target position extends operational range without risking human lives, but is still limited ...
    • Autonomous Bicycle 

      Brekke, Snorre Eskeland (Master thesis, 2010)
      The autonomous bike was conceived by Jens G. Balchen back in the eighties, and later picked up by Amund Skavhaug. The idea of a two-wheeled, self-powered, yet riderless bike has since been pursued intermittently over the ...
    • Autonomous Bicycle: The First Self Balanced Ride 

      Ånnestad, Dag Christian (Master thesis, 2011)
      The idea of an autonomous bicycle originates from Jens G. Balchen who wanted to make an unmanned autonomous bicycle. The idea was picked up by Amund Skavhaug who extended the idea with the concept of using an inverted ...
    • Autonomous Cave Exploration using Aerial Robots 

      Dharmadhikari, Mihir; Nguyen, Dinh Huan; Mascarich, Frank; Khedekar, Nikhil Vijay; Alexis, Konstantinos (Chapter, 2021)
      In this paper we present the complete system design for an aerial robot capable of autonomous exploration inside natural cave environments. Cave networks involve diverse and complicated topologies, complex geometries and ...
    • Autonomous COLREGs-Compliant Decision Making using Maritime Radar Tracking and Model Predictive Control 

      Kufoalor, D. Kwame Minde; Wilthil, Erik Falmår; Hagen, Inger Berge; Brekke, Edmund Førland; Johansen, Tor Arne (Chapter, 2019)
      This paper addresses the challenges of making safe and predictable collision avoidance decisions considering uncertainties related to maritime radar tracking. When a maritime radar is used for autonomous collision avoidance, ...
    • Autonomous contact-based thickness measurement from a multirotor UAV 

      Sortland, Sondre (Master thesis, 2019)
      Denne avhandlingen undersøker automatiseringen av tykkelsesmålinger ved hjelp av en ultralydssonde montert på en drone. Bruk av ubemannede luftfartøyer (unmanned aerial vehicles (UAVs)) for ikke-destruktiv testing ...
    • Autonomous Distributed 3D Radiation Field Estimation for Nuclear Environment Characterization 

      Mascarich, Frank; De Petris, Paolo; Nguyen, Dinh Huan; Khedekar, Nikhil Vijay; Alexis, Konstantinos (Chapter, 2021)
      This paper contributes a method designed to enable autonomous distributed 3D nuclear radiation field mapping. The algorithm uses a single radiation sensor and a sequence of spatially distributed and robotically acquired ...
    • Autonomous Docking Control System for the Otter USV: A Machine Learning Approach 

      Bjering Strand, Henrik (Master thesis, 2020)
      Denne masteroppgaven utforsker muligheten for å bruke dyp forsterkende læring (eng. deep reinforcement learning, DRL) til å utvikle et autonomt dokkingsystem for en underaktuert overflatefarkost. Autonome marine fartøy er ...
    • Autonomous docking using direct optimal control 

      Martinsen, Andreas Bell; Lekkas, Anastasios M.; Gros, Sebastien (Journal article; Peer reviewed, 2019)
      We propose a method for performing autonomous docking of marine vessels using numerical optimal control. The task is framed as a dynamic positioning problem, with the addition of spatial constraints that ensure collision ...
    • Autonomous Drifting of a 1:5 Scale Model Car 

      Jakobsen, Jakob Lieng (Master thesis, 2011)
      Current automotive safety systems restrict the vehicle to the linear region of operation where the sideslip angle is small. Recent research in the field has discovered that drifting possesses unstable equilibria in which ...
    • Autonomous Drilling Using Reinforcement Learning 

      Sjøvold, Eivind (Master thesis, 2021)
      Prosessen bak brønnboring krever store investeringer. Optimalisering av operasjonelle parametere med den henskikt å maksimere borerate(eng:rate of penetration (ROP)) er derfor et naturlig diskusjonstema. Optimalisering av ...
    • Autonomous driving of a small-scale electric truck model with dynamic wireless charging 

      Jon Eivind Stranden (Master thesis, 2019)
      Automated wireless power transfer can be seen as an enabling technology for autonomous vehicles. At SINTEF Energy Research a 1/14 scale electric truck model [13] had been used for demonstrating such technology. The truck ...
    • Autonomous Drone Landing using Deep Reinforcement Learning 

      Tavakoli, Daniel (Master thesis, 2020)
      Landingsproblemet har lenge vært et omdiskutert forskningstema i reguleringsteknikkmiljøet. Et flertall av utviklede systemer har vært sterkt avhengig av omfattende modellering av den kontrollerte prosessen før man utnytter ...
    • Autonomous Drone with Object Pickup Capabilities 

      Kvæstad, Bjarne (Master thesis, 2016)
      The objective with this project was to create an autonomous drone with the capability to pick up, and deliver an object, without any human interference. This is an continuation of the work done during the pre-project. The ...
    • Autonomous environmental monitoring probe for aquaculture sites 

      ramezaniakhmareh, alireza (Master thesis, 2012)
      This project aims to develop an instrument that is capable of moving vertically in a controlled manner along a taut string from the sea surface to a predetermined depth while measuring pertinent seawater parameters. The ...
    • Autonomous Exploration and General Visual Inspection of Ship Ballast Water Tanks using Aerial Robots 

      Dharmadhikari, Mihir; De Petris, Paolo; Kulkarni, Mihir; Khedekar, Nikhil Vijay; Nguyen, Dinh Huan; Stene, Arnt Erik; Sjøvold, Eivind; Solheim, Kristian; Gussiaas, Bente; Alexis, Konstantinos (Chapter, 2023)
      This paper presents a solution for the autonomous exploration and inspection of Ballast Water Tanks (BWTs) of marine vessels using aerial robots. Ballast tank compartments are critical for a vessel's safety and correspond ...
    • Autonomous Flow-Through RGB and Hyperspectral Imaging for Unmanned Surface Vehicles 

      Haugum, Matias; Fragoso, Glaucia; Henriksen, Marie Bøe; Zolich, Artur; Johansen, Tor Arne (Journal article, 2023)
      The process of collecting samples for traditional microscopic analyses can be costly and time-consuming. We present the design of an autonomous flow-through imaging (AFTI) system tailored for small unmanned surface vehicles ...
    • Autonomous Icing Protection Solution for Small Unmanned Aircraft: An Icing Detection, Anti-Icing and De-Icing Solution 

      Sørensen, Kim Lynge (Doctoral thesis at NTNU;2016:275, Doctoral thesis, 2016)
      This monograph is motivated by the lack of an autonomous icing protection solution for small unmanned aerial vehicles. The atmospheric phenomenon commonly referred to as aircraft icing is one the most dangerous weather ...
    • Autonomous inspection and maintenance missions with AI planning and the ROSPlan framework 

      Fillan, Jonas (Master thesis, 2023)
      Etterspørselen etter automatiserte løsninger er stadig økende i nesten alle aspekter av den moderne verden. Industrisektoren har alltid vært i tidlig ute med automatisering, og med dagens avansert databehandling og kunstig ...