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Easily accessible sensors, like drones with diverse onboard sensors, have greatly expanded studying animal behavior in natural environments. Yet, analyzing vast, unlabeled video data, often spanning hours, remains a challenge for machine…

Computer Vision and Pattern Recognition · Computer Science 2024-07-08 Duc Pham , Matthew Hansen , Félicie Dhellemmes , Jens Krause , Pia Bideau

Context. The populations of small bodies of the Solar System (asteroids, comets, Kuiper-Belt objects) are used to constrain the origin and evolution of the Solar System. Both their orbital distribution and composition distribution are…

Earth and Planetary Astrophysics · Physics 2021-08-13 A. V. Sergeyev , B. Carry

Smart City applications, such as traffic monitoring and disaster response, often use swarms of intelligent and cooperative drones to efficiently collect sensor data over different areas of interest and time spans. However, when the required…

Robotics · Computer Science 2023-10-13 Chuhao Qin , Evangelos Pournaras

In this paper, we extended previous studies of cooperating autonomous robots to include situations when environmental changes and changes in the number of robots in the swarm can affect the efficiency to execute tasks assigned to the swarm…

Robotics · Computer Science 2019-01-04 Bogdan Czejdo , Wiktor B. Daszczuk , Waldemar Grabski , Sambit Bhattacharya

Small-size robots offer access to spaces that are inaccessible to larger ones. This type of access is crucial in applications such as drug delivery, environmental detection, and collection of small samples. However, there are some tasks…

Robotics · Computer Science 2021-11-09 Pouria Razzaghi , Ehab Al Khatib , Yildirim Hurmuzlu

To guide the movement of a robotic swarm in a corridor-like environment, a curve virtual tube with no obstacle inside is designed in our previous work. This paper generalizes the controller design to the condition that all robots have…

Robotics · Computer Science 2023-07-04 Yan Gao , Chenggang Bai , Quan Quan

We use sparse regression methods (SRM) to build accurate and explainable models that predict the stellar mass of central and satellite galaxies as a function of properties of their host dark matter halos. SRM are machine learning algorithms…

Astrophysics of Galaxies · Physics 2022-11-30 M. Icaza-Lizaola , Richard G. Bower , Peder Norberg , Shaun Cole , Matthieu Schaller

In this paper we study the dynamic version of the covering problem motivated by the coverage of drones' swarm: Let $S$ be a set of $n$ non-negative weighted points in the plane representing users. Also, consider a set $P$ of $m$ disks that…

Data Structures and Algorithms · Computer Science 2019-12-16 Kiril Danilchenko , Michael Segal

Swarm robotics is a promising approach for the coordination of large numbers of robots. While previous studies have shown that evolutionary robotics techniques can be applied to obtain robust and efficient self-organized behaviors for robot…

Swarm of drones are increasingly being asked to carry out missions that can't be completed by one drone. Particularly, in delivery, issues arise due to the swarm's limited flight endurance. Hence, we propose a novel formation-guided…

Robotics · Computer Science 2021-08-31 Balsam Alkouz , Athman Bouguettaya

Building and maintaining a space object catalog is necessary for space situational awareness. To realize this, one great challenge is uncooperative spacecraft maneuver detection because unknown maneuver events can lead to deviated orbital…

Optimization and Control · Mathematics 2025-06-16 Xuejian Mao , Pei Liu , Pei Chen

In this article, theory-based analytical methodologies of astrophysics employed in the modern era are suitably operated alongside a test research-grade telescope to image and determine the orbit of a near-earth asteroid from original…

Earth and Planetary Astrophysics · Physics 2021-09-16 Muhammad Farae , Cameron Woo , Anka Hu

Orbital debris is a nonlinear control problem in a stratified orbital environment, not a static inventory. This paper develops a reduced-order shell-and-size framework that connects collision-rate scaling, fragment-production gain, natural…

Instrumentation and Methods for Astrophysics · Physics 2026-05-28 Slava G. Turyshev

Collaborative simultaneous localization and mapping (CSLAM) is essential for autonomous aerial swarms, laying the foundation for downstream algorithms such as planning and control. To address existing CSLAM systems' limitations in relative…

Robotics · Computer Science 2024-06-25 Hao Xu , Peize Liu , Xinyi Chen , Shaojie Shen

The emergent global behaviours of robotic swarms are important to achieve their navigation task goals. These emergent behaviours can be verified to assess their correctness, through techniques like model checking. Model checking…

Robotics · Computer Science 2015-10-12 Laura Antuña , Dejanira Araiza-Illan , Sérgio Campos , Kerstin Eder

A method for asteroid deflection that makes use of a spacecraft moving back and forth on a segment of a Keplerian orbit about the asteroid is studied with the aim of optimizing the initial gross mass of the spacecraft. The corresponding…

Earth and Planetary Astrophysics · Physics 2021-10-12 Yohannes Ketema

Using a fully autonomous spacecraft - Bering - we propose to detect and study sub-km asteroids from an orbit within the asteroid Main Belt. The main purpose of the proposed Bering mission is to detect a statistically significant sample of…

This paper presents a scalable online algorithm to generate safe and kinematically feasible trajectories for quadrotor swarms. Existing approaches rely on linearizing Euclidean distance-based collision constraints and on axis-wise…

Robotics · Computer Science 2023-03-10 Vivek K. Adajania , Siqi Zhou , Arun Kumar Singh , Angela P. Schoellig

This paper presents a method to control a manipulator system grasping a rigid-body payload so that the motion of the combined system in consequence of externally applied forces to be the same as another free-floating rigid-body (with…

Robotics · Computer Science 2022-09-20 Farhad Aghili

Swarm robotic systems are mainly inspired by swarms of socials insects and the collective emergent behavior that arises from their cooperation at the lower lever. Despite the limited sensory ability, computational power, and communication…

Systems and Control · Computer Science 2013-03-01 Wesam Elshamy