Searched for: subject:"Motion%5C+Planning"
(1 - 14 of 14)
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Croll, Ewoud (author)
Social Navigation is the task of robot motion planning in an environment shared with humans.This is an especially hard sub-problem of motion planning because the planner has to dealwith a dynamic, continuous and unpredictable environment. We present a local motionplanner, namely Neural Network Model Predictive Control, for autonomous ground...
master thesis 2020
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Gupta, Sukrit (author)
A lot research has been conducted in the field of autonomous navigation of mobile robots with focus on Robot Vision and Robot Motion Planning. However, most of the classical navigation solutions require several steps of data pre-processing and hand tuning of parameters, with separate modules for vision, localization, planning and control. All...
master thesis 2020
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van den Berg, Berend (author)
Last decades the autonomous driving research field has shown exponential growth. The social benefits, which include increased safety, mobility and productivity, are the main factor that drive this growth. One of the most difficult problems that vehicle engineers must solve to develop autonomous vehicles is the motion planning problem. They must...
master thesis 2020
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Vermeulen, Arjan (author)
At DCSC, research is conducted in the field of multi-agent systems. While this research often takes a theoretical approach, there is a growing need to verify the research on an experimental platform. In this way, the newly developed methods can be experimentally validated. For this purpose, a compact system is developed for localization and pose...
master thesis 2019
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Hazra, Shriya (author)
With the onset of the age of space travel, asteroid missions have been steadily gaining interest. The pristine nature of asteroids due to their preserved state since the formation of the Solar System is an opportunity to unravel many mysteries about the Solar System. Also with the ever-growing need for resources, asteroids prove to be a...
master thesis 2019
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Krishnakumar, Ajinkya (author)
Autonomous vehicles are the inevitable future of the industry as theoretically they guarantee higher road throughput and a much safer means of transport compared to today’s ground vehicle. This has attracted the industries and universities making it a very important topic of research. The basic function of the autonomous vehicle boils down to...
master thesis 2019
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Floor, Boaz (author)
Motion planning for Autonomous Ground Vehicles (AGVs) in dynamic environments is an extensively studied and complex problem. State of the art methods provide approximate solutions that make conservative assumptions to provide safety and feasibility. We aim to outperform current methods by following a trajectory optimization-based approach,...
master thesis 2018
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Cirera Rocosa, Ricard (author)
This MSc. thesis explores the design and implementation of a motion planner for non-holonomic autonomous vehicles in parking spaces. The planner must avoid collisions with static obstacles, satisfy performance, comfort and safety constraints for the motion, satisfy the non-holonomic constraints of the vehicle model, consider the dynamics of the...
master thesis 2018
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Taams, Hugo (author)
This thesis report proposes a framework to implement Navigation, Guidance and Control (GNC) systems, that enable point-to-point autonomy for displacement vessels. A model-based control approach is chosen as the basis of the GNC systems. The resulting algorithms are implemented for verification in a 1:25 scale model of a Azimuth Stern Drive (ASD)...
master thesis 2018
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Paramkusam, Deepak (author)
Kinodynamic motion planning for a robot involves generating a trajectory from a given robot state to goal state while satisfying kinematic and dynamic constraints. Rapidly-exploring Random Trees (RRT) is a sampling-based algorithm that has been widely adopted for this. However, RRT is not fast enough to enable its use in industrial applications....
master thesis 2018
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Moring, Stefan (author)
With the need for robots to operate autonomously increasing more and more, the research field of motion planning is becoming more active. Usually planning is done in configuration space, which often leads to non feasible solutions for highly dynamical or underactuated systems. With kinodynamic planning motion can also be planned for this...
master thesis 2018
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Cumbal Guerron, Ronald (author)
Socially-aware robot navigation strives to find efficient methods to autonomously navigate known environments while incorporating social metrics derived from human behavior. Several methods built for navigation on dynamic and uncertain environments have been adapted to resemble human navigation, but fail to appropriately reflect the social...
master thesis 2017
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Zhou, Bingyu (author)
Autonomous driving is one of the popular and advanced research fields aiming to reduce the mortality rate and improve the welfare and efficiency of commuters' lives. As one of the important research branches of self-driving cars, this thesis focuses on the motion planning problems in dynamic and uncertain environments. The challenge of motion...
master thesis 2017
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Meijer, J.G.J. (author)
The grasping of objects is a highly desired function for service robots. To aid with grasping, researchers have developed grasping approaches. A demerit of existing approaches is that they solely focus on the grasp finding. A more important part in grasping is the grasp execution, which involves the solving of a motion planning problem....
master thesis 2017
Searched for: subject:"Motion%5C+Planning"
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