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One of the fundamental limiting factors in planetary exploration is the autonomous capabilities of planetary exploration rovers. This study proposes a novel methodology for trustworthy autonomous multi-robot teams which incorporates data…

机器人学 · 计算机科学 2024-10-24 Sarah Swinton , Jan-Hendrik Ewers , Euan McGookin , David Anderson , Douglas Thomson

This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover. To maximize effective coverage of the Mars surface in the long run, a comprehensive framework has been developed with joint…

机器人学 · 计算机科学 2020-11-17 Yuan Chang , Chao Yan , Xingyu Liu , Xiangke Wang , Han Zhou , Xiaojia Xiang , Dengqing Tang

Coverage path planning is a fundamental challenge in robotics, with diverse applications in aerial surveillance, manufacturing, cleaning, inspection, agriculture, and more. The main objective is to devise a trajectory for an agent that…

机器人学 · 计算机科学 2023-11-01 Dominik Michael Krupke

An efficient characterization of scientifically significant locations is essential prior to the return of humans to the Moon. The highest resolution imagery acquired from orbit of south-polar shadowed regions and other relevant locations…

Unmanned Aerial Vehicles (UAVs) have been implemented for environmental monitoring by using their capabilities of mobile sensing, autonomous navigation, and remote operation. However, in real-world applications, the limitations of on-board…

机器人学 · 计算机科学 2019-07-16 Teng Li , Chaoqun Wang , Max Q. -H. Meng , Clarence W. de Silva

Path planning for robotic coverage is the task of determining a collision-free robot trajectory that observes all points of interest in an environment. Robots employed for such tasks are often capable of exercising active control over…

机器人学 · 计算机科学 2020-11-17 Tushar Kusnur , Dhruv Mauria Saxena , Maxim Likhachev

The European Moon Rover System (EMRS) Pre-Phase A activity is part of the European Exploration Envelope Programme (E3P) that seeks to develop a versatile surface mobility solution for future lunar missions. These missions include: the Polar…

Many scenarios require a robot to be able to explore its 3D environment online without human supervision. This is especially relevant for inspection tasks and search and rescue missions. To solve this high-dimensional path planning problem,…

机器人学 · 计算机科学 2021-12-07 Christian Witting , Marius Fehr , Rik Bähnemann , Helen Oleynikova , Roland Siegwart

The aim of this work is to introduce MaRF, a novel framework able to synthesize the Martian environment using several collections of images from rover cameras. The idea is to generate a 3D scene of Mars' surface to address key challenges in…

计算机视觉与模式识别 · 计算机科学 2022-12-06 Lorenzo Giusti , Josue Garcia , Steven Cozine , Darrick Suen , Christina Nguyen , Ryan Alimo

In recent years, advancements have been made towards the goal of using chaotic coverage path planners for autonomous search and traversal of spaces with limited environmental cues. However, the state of this field is still in its infancy as…

机器人学 · 计算机科学 2024-12-02 Uyiosa Philip Amadasun , Patrick McNamee , Zahra Nili Ahmadabadi , Peiman Naseradinmousavi

Collision-free path planning is an essential requirement for autonomous exploration in unknown environments, especially when operating in confined spaces or near obstacles. This study presents an autonomous exploration technique using a…

机器人学 · 计算机科学 2023-02-01 Sunggoo Jung , Hanseob Lee , David Hyunchul Shim , Ali-akbar Agha-mohammadi

This paper presents a comprehensive overview of exploration strategies utilized in both 2D and 3D environments, focusing on autonomous multi-robot systems designed for building exploration and fire detection. We explore the limitations of…

机器人学 · 计算机科学 2024-11-26 Ankit Shaw

Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D structure of the robot's environment. On MAVs this is commonly achieved using…

机器人学 · 计算机科学 2019-11-15 Marius Fehr , Tim Taubner , Yang Liu , Roland Siegwart , Cesar Cadena

Autonomous exploration of unknown environments is a key capability for mobile robots, but it is largely unsolved for robots equipped with only a single monocular camera and no dense range sensors. In this paper, we present a novel approach…

机器人学 · 计算机科学 2026-05-15 Tomáš Musil , Matěj Petrlík , Martin Saska

In the context of mobile navigation in unstructured environments, the predominant approach entails the avoidance of obstacles. The prevailing path planning algorithms are contingent upon deviating from the intended path for an indefinite…

机器人学 · 计算机科学 2025-06-06 Tuba Girgin , Emre Girgin , Cagri Kilic

Coverage path planning in a generic known environment is shown to be NP-hard. When the environment is unknown, it becomes more challenging as the robot is required to rely on its online map information built during coverage for planning its…

机器人学 · 计算机科学 2021-10-19 Javad Heydari , Olimpiya Saha , Viswanath Ganapathy

Up until now, path planning for unmanned aerial vehicles (UAVs) has mainly been focused on the optimisation towards energy efficiency. However, to operate UAVs safely, wireless coverage is of utmost importance. Currently, deployed cellular…

信号处理 · 电气工程与系统科学 2019-05-09 Sibren De Bast , Evgenii Vingradov , Sofie Pollin

This study proposes a schematic plan for in-situ resource utilization (ISRU) in Martian volcanic terrains. The work investigated the complexity of volcanic terrains and Martian environmental hazards and suggested comprehensive engineering…

天体物理仪器与方法 · 物理学 2025-09-09 Divij Gupta , Arkajit Aich

Planetary rover exploration is attracting renewed interest with several upcoming space missions to the Moon and Mars. However, a substantial amount of data from prior missions remain underutilized for path planning and autonomous navigation…

机器人学 · 计算机科学 2025-12-29 Marvin Chancán , Avijit Banerjee , George Nikolakopoulos

Efficient coordination of multiple robots for coverage of large, unknown environments is a significant challenge that involves minimizing the total coverage path length while reducing inter-robot conflicts. In this paper, we introduce a…