Searched for: subject%3A%22obstacle%255C+avoidance%22
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Meijssen, Ries (author)
The shift to sustainable energy sources has increased demand for Energy Transition Metals such as nickel, copper, cobalt, and manganese. To satisfy this need while reducing the negative social and environmental effects of conventional mining, Deep-sea Nodule Collection (DSNC) appears to be a feasible option. Despite its potential, DSNC...
master thesis 2024
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de Vries, Rinto (author)
Recent literature in real-time trajectory planning has proposed using Control Barrier Functions (CBFs) as collision constraints in Model Predictive Control (MPC) for efficient guidance, a concept referred to as MPC-CBF. This concept has been explored for both first and second-order CBFs. However, these approaches relied on an analytical...
master thesis 2023
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Rado, Karlo (author)
A key challenge for SaR robotics is to avoid dynamic obstacles in cluttered environments, with limited and noisy information. In this research, a controller for SaR robots is developed by coupling a local heuristic motion planner with a model predictive control (MPC) based trajectory tracker. Constraint tightening and tube-based control are used...
master thesis 2023
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Gelling, Lars (author)
The unique six-legged swarming rover Lunar Zebro is designed and produced by students from the Delft University of Technology. The objective of the rover is to accomplish an autonomous mission on the Lunar surface by 2024. This thesis evaluates a path planning algorithm that is designed for autonomous navigation in the Lunar environment. The...
master thesis 2023
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Meester, Ruben (author)
We present a computationally cheap 3D bug algorithm for drones, using stereo vision. Obstacle avoidance is important, but difficult for robots with limited resources, such as drones. Stereo vision requires less weight and power than active distance measurement sensors, but typically has a limited Field of View (FoV). In addition, the stereo...
master thesis 2023
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Lupău, Cătălin (author)
In this paper, we explore the creation of control algorithms for swarms of robots playing the role of either predator or prey in an environment filled with static obstacles. The paper devel- ops on a famous flock simulation model proposed by Craig Reynolds called boids. The paper analyzes a zero-sum game situation, in which one swarm of robots,...
bachelor thesis 2022
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Garofano, V. (author), Hepworth, M. (author), Shahin, R. (author)
The framework of an autonomous vessel is typically composed of three distinct and independent blocks known as the Guidance, Navigation and Control (GNC) system. This paper presents a combination of advanced complementary techniques in the different GNC subsystems to improve upon the current common practices/state of the art in obstacle...
journal article 2022
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Zammit, C. (author)
Unmanned Aerial Vehicles (UAVs) are being integrated into all spheres of life, for a wide range of application in civil, commercial and military applications in both indoor and outdoor environments. UAV onboard intelligence is a paramount requirement in the realisation of UAV Traffic Management System (UTM) and Air Traffic Management (ATM)...
doctoral thesis 2021
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Dinaux, Raoul (author)
Micro Air Vehicles (MAVs) are able to support humans in dangerous operations, such as search and rescue operations at night on unknown terrain. These scenes require a great amount of autonomy from the MAV, as they are often radio and GPS-denied. As MAVs have limited computational resources and energy storage, onboard navigation tasks have to be...
master thesis 2021
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van Dijk, Tom (author)
With a growing number of drones, the risk of collision with other air traffic or fixed obstacles increases. New safety measures are required to keep the operation of Unmanned Aerial Vehicles (UAVs) safe. One of these measures is the use of a Collision Avoidance System (CAS), a system that helps the drone autonomously detect and avoid obstacles....
report 2020
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Kolekar, S.B. (author), de Winter, J.C.F. (author), Abbink, D.A. (author)
Gibson and Crooks (1938) argued that a ‘field of safe travel’ could qualitatively explain drivers' steering behavior on straights, curved roads, and while avoiding obstacles. This study aims to quantitatively explain driver behavior while avoiding obstacles on a straight road, and quantify the ‘Driver's Risk Field’ (DRF). In a fixed-based...
journal article 2020
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Haseltalab, A. (author), Garofano, V. (author), Afzal, Muhammad Raheel (author), Faggioni, Nicoló (author), Li, Shijie (author), Liu, Jialun (author), Ma, Feng (author), Martelli, Michele (author), Singh, Yogang (author), Slaets, Peter (author), You, Xu (author), Negenborn, R.R. (author)
The future autonomous ships will be operating in an environment where different autonomous and non-autonomous vessels with different characteristics exist. These vessels are owned by different parties and each uses its owned unique approaches for guidance and navigation. The Collaborative Autonomous Shipping Experiment (CASE) aims at...
journal article 2020
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Huang, Yamin (author), Chen, Linying (author), Negenborn, R.R. (author), van Gelder, P.H.A.J.M. (author)
Many Collision Avoidance Systems (CAS) for autonomous ships usually presume that a ship's dynamics are completely known in advance. However, precise parameters for ships in different operating conditions are, in fact, uncertain and unknown. The parameter identification of ship dynamics is challenging and time-consuming. Thus, uncertainties in...
journal article 2020
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Lin, Jiahao (author)
Safe navigation in unknown environments is a challenging task for autonomous Micro Aerial Vehicle (MAV) systems. Previous works generally avoid obstacles by assuming that the environment is static. The purpose of this thesis work is to develop a MAV system that can navigate autonomously and safely in dynamic environments. We present an onboard...
master thesis 2019
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Piessens, Tom (author)
Teleoperation is by nature a deprivation of the senses, which can pose a handicap when operating in an unknown and even dynamic en- vironment. Noticing moving obstacles in such a situation can prove to be quite difficult and the UAV runs the risk of colliding with them. Previous work designed a shared control haptic interface based on the...
master thesis 2019
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Vreugdenhil, Wilco (author)
The technological advancements in the automotive industry have enabled the automation of numerous routine driving tasks. As a result, the art of driving has become a control task with a strong supervisory character, including the common human factor issues. Haptic Shared Control has been shown to be useful in keeping the driver in-the-loop by...
master thesis 2019
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Sharif Azadeh, S. (author), Bierlaire, M. (author), Maknoon, M.Y. (author)
This paper presents a route optimization algorithm for light aircraft operating under visual flight rules. The problem aims at finding a minimum-duration, collision-free route in three spatial dimensions with possible aircraft maneuvers. The optimal route takes into account the aircraft kinodynamic characteristics and its interaction with...
journal article 2019
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Vreugdenhil, Wilco (author), Barendswaard, S. (author), Abbink, D.A. (author), Borst, C. (author), Petermeijer, S.M. (author)
For automated vehicles (SAE Level 2-3) part of the challenge lies in communicating to the driver what control actions the automation is taking and will take, and what its capabilities are. A promising approach is haptic shared control (HSC), which uses continuous torques on the steering wheel to communicate the automation’s current control...
journal article 2019
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Tijmons, S. (author)
Many types of drones have emerged over the last decade and new applications in various sectors are announced almost on a daily basis. In scientific literature, small drones are called Micro Air Vehicles (MAVs). Especially very small MAVs will play a significant role in indoor applications, since their small size allows them to navigate in narrow...
doctoral thesis 2017
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Gonzalez Martinez, Javier Andres (author)
Humans can compensate rapidly to unforeseen errors and circumstances while performing motor tasks. These tasks are exposed to sensory and motor noise and delays originated from the biological system characteristics, as well as to varying surrounding environments while performing movements. Therefore, uncertainty of the estimate of limb position...
master thesis 2017
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