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A common workflow for many engineering design problems requires the evaluation of the design system to be investigated under a range of conditions. These conditions usually involve a combination of several parameters. To perform a complete…

Computational Engineering, Finance, and Science · Computer Science 2020-09-18 J. H. Gaspar Elsas , N. A. G. Casaprima , I. F. M. Menezes

Shared autonomy is a promising paradigm in robotic systems, particularly within the maritime domain, where complex, high-risk, and uncertain environments necessitate effective human-robot collaboration. This paper investigates the…

This paper presents a family of autonomous Unmanned Aerial Vehicles (UAVs) platforms designed for a diverse range of indoor and outdoor applications. The proposed UAV design is highly modular in terms of used actuators, sensor…

In the past two decades, autonomous driving has been catalyzed into reality by the growing capabilities of machine learning. This paradigm shift possesses significant potential to transform the future of mobility and reshape our society as…

Robotics · Computer Science 2022-10-21 Richard Chakra

The quality of a simulator equipped with a haptic interface is given by the dynamical properties of its components: haptic interface, simulator and control system. Some application areas of such kind of simulator like musical synthesis,…

Graphics · Computer Science 2010-05-20 Jean-Loup Florens , Alina Voda , Daniela Urma

This work focuses on the main challenges and problems in developing a virtual oceanic environment reproducing real experiments using Unmanned Surface Vehicles (USV) digital twins. We introduce the key features for building virtual worlds,…

This workshop paper presents the challenges we encountered when simulating fully-actuated Unmanned Aerial Vehicles (UAVs) for our research and the solutions we developed to overcome the challenges. We describe the ARCAD simulator that has…

Robotics · Computer Science 2023-05-15 Azarakhsh Keipour , Mohammadreza Mousaei , Sebastian Scherer

Differentiable simulators continue to push the state of the art across a range of domains including computational physics, robotics, and machine learning. Their main value is the ability to compute gradients of physical processes, which…

Robotics · Computer Science 2024-07-09 Rhys Newbury , Jack Collins , Kerry He , Jiahe Pan , Ingmar Posner , David Howard , Akansel Cosgun

This paper introduces mathematical models of \sensors\ for mobile robots based on visibility. Serving a purpose similar to the pinhole camera model for computer vision, the introduced models are expected to provide a useful, idealized…

Robotics · Computer Science 2023-01-24 Kshitij Tiwari , Basak Sakcak , Prasanna Routray , Manivannan M. , Steven M. LaValle

Simulation agents are essential for designing and testing systems that interact with humans, such as autonomous vehicles (AVs). These agents serve various purposes, from benchmarking AV performance to stress-testing system limits, but all…

Artificial Intelligence · Computer Science 2025-05-21 Daphne Cornelisse , Aarav Pandya , Kevin Joseph , Joseph Suárez , Eugene Vinitsky

Autonomous vehicles (AVs) are being rapidly introduced into our lives. However, public misunderstanding and mistrust have become prominent issues hindering the acceptance of these driverless technologies. The primary objective of this study…

Human-Computer Interaction · Computer Science 2023-02-20 Zhijie Qiao , Helen Loeb , Venkata Gurrla , Matt Lebermann , Johannes Betz , Rahul Mangharam

Testing of autonomous systems is extremely important as many of them are both safety-critical and security-critical. The architecture and mechanism of such systems are fundamentally different from traditional control software, which appears…

Software Engineering · Computer Science 2021-03-15 Qunying Song , Emelie Engström , Per Runeson

In the near future, autonomous space systems will compose many of the deployed spacecraft. Their tasks will involve autonomous rendezvous and proximity operations with large structures, such as inspections, assembly, and maintenance of…

Marine vehicles have been used for various scientific missions where information over features of interest is collected. In order to maximise efficiency in collecting information over a large search space, we should be able to deploy a…

The efficiency of current cargo screening processes at sea and air ports is largely unknown as few benchmarks exists against which they could be measured. Some manufacturers provide benchmarks for individual sensors but we found no…

Artificial Intelligence · Computer Science 2010-07-05 Peer-Olaf Siebers , Galina Sherman , Uwe Aickelin

Autonomous Underwater Vehicles (AUVs) need to operate for days without human intervention and thus must be able to do efficient and reliable task planning. Unfortunately, efficient task planning requires deliberately abstract domain models…

Developing smart house systems has been a great challenge for researchers and engineers in this area because of the high cost of implementation and evaluation process of these systems, while being very time consuming. Testing a designed…

Artificial Intelligence · Computer Science 2011-05-17 Zahra Forootan Jahromi , Amir Rajabzadeh , Ali Reza Manashty

This article is devoted to research the application of the spacecraft with a solar sail to support the certain climatic conditions in an area of the Mars surface. Authors propose principles of functioning of the spacecraft, intended to…

Space Physics · Physics 2017-09-19 Miroslav A. Rozhkov , Irina V. Gorbunova , Olga L. Starinova

The ever increasing demands placed upon machine performance have resulted in the need for more comprehensive particle accelerator modeling. Computer simulations are key to the success of particle accelerators. Many aspects of particle…

The maritime industry's continuous commitment to sustainability has led to a dedicated exploration of methods to reduce vessel fuel consumption. This paper undertakes this challenge through a machine learning approach, leveraging a…

Machine Learning · Computer Science 2024-03-22 Yimeng Fan , Pedram Agand , Mo Chen , Edward J. Park , Allison Kennedy , Chanwoo Bae
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