Autonomous spot: Long-range autonomous exploration of extreme environments with legged locomotion
This paper serves as one of the first efforts to enable large-scale and long-duration
autonomy using the Boston Dynamics Spot robot. Motivated by exploring extreme …
autonomy using the Boston Dynamics Spot robot. Motivated by exploring extreme …
General place recognition survey: Towards the real-world autonomy age
P Yin, S Zhao, I Cisneros, A Abuduweili… - ar** (SLAM) in loop-closure detection and re-localization for long-term navigation. The …
[HTML][HTML] A Fault-Tolerant Multi-Agent Reinforcement Learning Framework for Unmanned Aerial Vehicles–Unmanned Ground Vehicle Coverage Path Planning
In this paper, we introduce a fault-tolerant multi-agent reinforcement learning framework
called SERT-DQN to optimize the operations of UAVs with UGV central control in coverage …
called SERT-DQN to optimize the operations of UAVs with UGV central control in coverage …
On genetic algorithm and artificial neural network combined optimization for a Mars rotorcraft blade
D Tang, B Tang, W Shen, K Zhu, Q Quan, Z Deng - Acta Astronautica, 2023 - Elsevier
The Mars rotorcraft can help the Mars rover to optimize the driving route and explore more
efficiently. However, the thin and cold Martian atmosphere can heavily increase the …
efficiently. However, the thin and cold Martian atmosphere can heavily increase the …
LIO-fusion: Reinforced LiDAR inertial odometry by effective fusion with GNSS/relocalization and wheel odometry
W Wu, X Zhong, D Wu, B Chen… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Reliable state estimation is a prerequisite for autonomous robot navigation in complex
environments. In this work, we present LIO-Fusion, a reinforced LiDAR inertial odometry …
environments. In this work, we present LIO-Fusion, a reinforced LiDAR inertial odometry …
UAV4PE: An open-source framework to plan UAV autonomous missions for planetary exploration
Autonomous Unmanned Aerial Vehicles (UAV) for planetary exploration missions require
increased onboard mission-planning and decision-making capabilities to access full …
increased onboard mission-planning and decision-making capabilities to access full …
RSPMP: Real-time semantic perception and motion planning for autonomous navigation of unmanned ground vehicle in off-road environments
D Chen, M Zhuang, X Zhong, W Wu, Q Liu - Applied Intelligence, 2023 - Springer
Considering autonomous navigation of an unmanned ground vehicle (UGV) in off-road
environments, it faces various problems, such as semantic perception and motion planning …
environments, it faces various problems, such as semantic perception and motion planning …
Terrain classification-based rover traverse planner with kinematic constraints for Mars exploration
G Huang, L Yang, Y Cai, D Zhang - Planetary and Space Science, 2021 - Elsevier
In Mars exploration mission, the rover path planning is essential to ensure the safety and
efficiency of the rover traverse. At present, traverse planning deployed Mars rovers requires …
efficiency of the rover traverse. At present, traverse planning deployed Mars rovers requires …
An upper confidence bound for simultaneous exploration and exploitation in heterogeneous multi-robot systems
Heterogeneous multi-robot systems are advantageous for operations in unknown
environments because functionally specialised robots can gather environmental information …
environments because functionally specialised robots can gather environmental information …
An addendum to nebula: Towards extending team costar's solution to larger scale environments
This article presents an appendix to the original NeBula autonomy solution developed by
the Team Collaborative SubTerranean Autonomous Robots (CoSTAR), participating in the …
the Team Collaborative SubTerranean Autonomous Robots (CoSTAR), participating in the …