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This paper proposes a novel mission planning platform, capable of efficiently deploying a team of UAVs to cover complex-shaped areas, in various remote sensing applications. Under the hood lies a novel optimization scheme for grid-based…

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

The European Space Agency (ESA) and the European Space Resources Innovation Centre (ESRIC) created the Space Resources Challenge to invite researchers and companies to propose innovative solutions for Multi-Robot Systems (MRS) space…

Real-time analysis of Martian craters is crucial for mission-critical operations, including safe landings and geological exploration. This work leverages the latest breakthroughs for on-the-edge crater detection aboard spacecraft. We…

Performing orbital insertion around Mars using aerocapture instead of a propulsive orbit insertion manoeuvre allows to save resources and/or increase the payload mass fraction. Aerocapture has never been employed to date because of the high…

地球与行星天体物理 · 物理学 2021-07-13 Giorgio Isoletta , Michele Grassi , Elena Fantino , David de la Torre Sangrà , Jesús Peláez Álvarez

Future planetary exploration rovers must operate for extended durations on hybrid power inputs that combine steady radioisotope thermoelectric generator (RTG) output with variable solar photovoltaic (PV) availability. While energy-aware…

机器人学 · 计算机科学 2025-09-19 Tianxin Hu , Weixiang Guo , Ruimeng Liu , Xinhang Xu , Rui Qian , Jinyu Chen , Shenghai Yuan , Lihua Xie

The area coverage problem is the task of efficiently servicing a given two-dimensional surface using sensors mounted on robots such as unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). We present a novel formulation for…

机器人学 · 计算机科学 2022-08-23 Saurav Agarwal , Srinivas Akella

Visual exploration and smart data collection via autonomous vehicles is an attractive topic in various disciplines. Disturbances like wind significantly influence both the power consumption of the flying robots and the performance of the…

信号处理 · 电气工程与系统科学 2021-01-27 Amir Niaraki , Jeremy Roghair , Ali Jannesari

We propose a novel Energy-Predictive Drone Service (EPDS) framework for efficient package delivery within a skyway network. The EPDS framework incorporates a formal modeling of an EPDS and an adaptive bidirectional Long Short-Term Memory…

机器人学 · 计算机科学 2025-08-05 Guanting Ren , Babar Shahzaad , Balsam Alkouz , Abdallah Lakhdari , Athman Bouguettaya

In addition to conventional ground rovers, the Mars 2020 mission will send a helicopter to Mars. The copter's high-resolution data helps the rover to identify small hazards such as steps and pointy rocks, as well as providing rich textual…

机器人学 · 计算机科学 2020-08-18 Takahiro Sasaki , Kyohei Otsu , Rohan Thakker , Sofie Haesaert , Ali-akbar Agha-mohammadi

This paper proposes a path planning algorithm for multi-agent unmanned aircraft systems (UASs) to autonomously cover a search area, while considering obstacle avoidance, as well as the capabilities and energy consumption of the employed…

系统与控制 · 电气工程与系统科学 2025-04-07 Sebastian Gasche , Christian Kallies , Andreas Himmel , Rolf Findeisen

This paper addresses the complete area coverage problem of a known environment by multiple-robots. Complete area coverage is the problem of moving an end-effector over all available space while avoiding existing obstacles. In such tasks,…

机器人学 · 计算机科学 2018-08-09 Nare Karapetyan , Kelly Benson , Chris McKinney , Perouz Taslakian , Ioannis Rekleitis

Due to the merit without requiring charging cable, wireless power transfer technologies have drawn rising attention as a new method to replenish energy to Wireless Rechargeable Sensor Networks (WRSNs). In this paper, we study mobile charger…

网络与互联网体系结构 · 计算机科学 2018-10-31 Xunpeng Rao , Panlong Yang , Haipeng Dai , Tao Wu , Hao Zhou , Jing Zhao , Linlin Chen , Peng-Jun Wan

Terrestrial-aerial bimodal vehicles, which integrate the high mobility of aerial robots with the long endurance of ground robots, offer significant potential for autonomous exploration. Given the inherent energy and time constraints in…

机器人学 · 计算机科学 2025-07-30 Yuman Gao , Ruibin Zhang , Tiancheng Lai , Yanjun Cao , Chao Xu , Fei Gao

In this paper we study multi-robot path planning for persistent monitoring tasks. We consider the case where robots have a limited battery capacity with a discharge time $D$. We represent the areas to be monitored as the vertices of a…

机器人学 · 计算机科学 2023-03-17 Ahmad Bilal Asghar , Shreyas Sundaram , Stephen L. Smith

Aerial drones offer a distinct potential to reduce the delivery time and energy consumption for the delivery of time-sensitive and small products. However, there is still a need in the relevant industry to understand the performance of…

最优化与控制 · 数学 2022-09-12 Tanveer Hossain Bhuiyan , Mohammad Roni , Victor Walker

Human long duration exploration missions (LDEMs) raise a number of technological challenges. This paper addresses the question of the crew autonomy: as the distances increase, the communication delays and constraints tend to prevent the…

In this paper, we describe a robust multi-drone planning framework for high-speed trajectories in large scenes. It uses a free-space-oriented map to free the optimization from cumbersome environment data. A capsule-like safety constraint is…

机器人学 · 计算机科学 2021-09-20 Zhepei Wang , Chao Xu , Fei Gao

In the future, extraterrestrial expeditions will not only be conducted by rovers but also by flying robots. The technical demonstration drone Ingenuity, that just landed on Mars, will mark the beginning of a new era of exploration…

We consider the spatial classification problem for monitoring using data collected by a coordinated team of mobile robots. Such classification problems arise in several applications including search-and-rescue and precision agriculture.…

机器人学 · 计算机科学 2026-05-25 Xiaoshan Lin , Siddharth Nayak , Stefano Di Cairano , Abraham P. Vinod