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There has been an increase in interest in missions that drive significantly longer distances per day than what has currently been performed. Further, some of these proposed missions require autonomous driving and absolute localization in…

The Artemis program requires robotic and crewed lunar rovers for resource prospecting and exploitation, construction and maintenance of facilities, and human exploration. These rovers must support navigation for 10s of kilometers (km) from…

Onboard localization capabilities for planetary rovers to date have used relative navigation, by integrating combinations of wheel odometry, visual odometry, and inertial measurements during each drive to track position relative to the…

Global localization is necessary for autonomous operations on the lunar surface where traditional Earth-based navigation infrastructure, such as GPS, is unavailable. As NASA advances toward sustained lunar presence under the Artemis…

计算机视觉与模式识别 · 计算机科学 2025-06-23 Annika Thomas , Robaire Galliath , Aleksander Garbuz , Luke Anger , Cormac O'Neill , Trevor Johst , Dami Thomas , George Lordos , Jonathan P. How

We present a modular, full-stack autonomy system for lunar surface navigation and mapping developed for the Lunar Autonomy Challenge. Operating in a GNSS-denied, visually challenging environment, our pipeline integrates semantic…

机器人学 · 计算机科学 2026-03-19 Adam Dai , Asta Wu , Keidai Iiyama , Guillem Casadesus Vila , Kaila Coimbra , Thomas Deng , Grace Gao

Robotic and human lunar landings are a focus of future NASA missions. Precision landing capabilities are vital to guarantee the success of the mission, and the safety of the lander and crew. During the approach to the surface there are…

机器人学 · 计算机科学 2022-07-26 Daniel Posada , Jarred Jordan , Angelica Radulovic , Lillian Hong , Aryslan Malik , Troy Henderson

In order to make a pinpoint landing on the Moon, the spacecraft's navigation system must be accurate. To achieve the desired accuracy, navigational drift caused by the inertial sensors must be corrected. One way to correct this drift is to…

机器人学 · 计算机科学 2025-02-24 Atakan Süslü , Betül Rana Kuran , Halil Ersin Söken

With the complexity of lunar exploration missions, the moon needs to have a higher level of autonomy. Environmental perception and navigation algorithms are the foundation for lunar rovers to achieve autonomous exploration. The development…

计算机视觉与模式识别 · 计算机科学 2024-09-27 Jiayi Liu , Qianyu Zhang , Xue Wan , Shengyang Zhang , Yaolin Tian , Haodong Han , Yutao Zhao , Baichuan Liu , Zeyuan Zhao , Xubo Luo

Autonomous spacecraft relative navigation technology has been planned for and applied to many famous space missions. The development of on-board electronics systems has enabled the use of vision-based and LiDAR-based methods to achieve…

机器人学 · 计算机科学 2021-11-24 Jianing Song , Duarte Rondao , Nabil Aouf

Autonomous terrain classification is an important problem in planetary navigation, whether the goal is to identify scientific sites of interest or to traverse treacherous areas safely. Past Martian rovers have relied on human operators to…

机器人学 · 计算机科学 2023-10-04 Anja Sheppard , Katherine A. Skinner

Autonomous aerial navigation in absolute darkness is crucial for post-disaster search and rescue operations, which often occur from disaster-zone power outages. Yet, due to resource constraints, tiny aerial robots, perfectly suited for…

机器人学 · 计算机科学 2026-01-30 Deepak Singh , Shreyas Khobragade , Nitin J. Sanket

Autonomous operation of UAVs in a closed environment requires precise and reliable pose estimate that can stabilize the UAV without using external localization systems such as GNSS. In this work, we are concerned with estimating the pose…

机器人学 · 计算机科学 2023-02-06 Matěj Petrl\' ik , Tom\' aš Krajn\' ik , Martin Saska

The Moon is a primary focus of space exploration. Current navigation methods face significant limitations in providing precise location data for lunar missions. In particular, existing methods often require direct Line of Sight to Earth,…

信号处理 · 电气工程与系统科学 2025-04-07 Tim Gong , Andrew Dempster

The Lunar landing has drawn great interest in lunar exploration in recent years, and autonomous lunar landing navigation is fundamental to this task. AI is expected to play a critical role in autonomous and intelligent space missions, yet…

计算机视觉与模式识别 · 计算机科学 2024-08-27 Jianing Song , Nabil Aouf , Duarte Rondao , Christophe Honvault , Luis Mansilla

Future lunar missions will require autonomous rovers capable of traversing tens of kilometers across challenging terrain while maintaining accurate localization and producing globally consistent maps. However, the absence of global…

机器人学 · 计算机科学 2026-03-19 Adam Dai , Guillem Casadesus Vila , Grace Gao

Reliable robot pose estimation is a key building block of many robot autonomy pipelines, with LiDAR localization being an active research domain. In this work, a versatile self-supervised LiDAR odometry estimation method is presented, in…

机器人学 · 计算机科学 2021-06-28 Julian Nubert , Shehryar Khattak , Marco Hutter

Establishing lunar infrastructure is paramount to long-term habitation on the Moon. To meet the demand for future lunar infrastructure development, we present CraterGrader, a novel system for autonomous robotic earthmoving tasks within…

Lunar exploration has become a key focus, driving scientific and technological advances. Ongoing missions are deploying rovers to the surface of the Moon, targeting the far side and south pole. However, these terrains pose challenges,…

Because of the communication delay between earth and moon, the GNC technology of lunar probe is becoming more important than ever. Current navigation technology is not able to provide precise motion estimation for probe landing control…

机器人学 · 计算机科学 2008-04-25 Ding Meng , Cao Yun-feng , Wu Qing-xian , Zhang Zhen

The NASA Lunar Reconnaissance Orbiter (LRO) has returned petabytes of lunar high spatial resolution surface imagery over the past decade, impractical for humans to fully review manually. Here we develop an automated method using a deep…

地球与行星天体物理 · 物理学 2024-03-13 Adam Lesnikowski , Valentin T. Bickel , Daniel Angerhausen
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