Deep Reinforcement Learning-Based 2.5 D Multi-Objective Path Planning for Ground Vehicles: Considering Distance and Energy Consumption
X Wu, S Huang, G Huang - Electronics, 2023 - mdpi.com
Due to the vastly different energy consumption between up-slope and down-slope, a path
with the shortest length in a complex off-road terrain environment (2.5 D map) is not always …
with the shortest length in a complex off-road terrain environment (2.5 D map) is not always …
Deep reinforcement learning-based multi-objective path planning on the off-road terrain environment for ground vehicles
S Huang, X Wu, G Huang - arXiv preprint arXiv:2305.13783, 2023 - arxiv.org
Due to the vastly different energy consumption between up-slope and down-slope, a path
with the shortest length on a complex off-road terrain environment (2.5 D map) is not always …
with the shortest length on a complex off-road terrain environment (2.5 D map) is not always …
Deep reinforcement learning-based failure-safe motion planning for a 4-wheeled 2-steering lunar rover
BJ Park, HJ Chung - Aerospace, 2023 - mdpi.com
The growing trend of onboard computational autonomy has increased the need for self-
reliant rovers (SRRs) with high efficiency for unmanned rover activities. Mobility is directly …
reliant rovers (SRRs) with high efficiency for unmanned rover activities. Mobility is directly …
Modeling and analysis of a reconfigurable rover for improved traversing over soft sloped terrains
Adjusting the roll angle of a rover's body is a commonly used strategy to improve its
traversability over sloped terrains. However, its range of adjustment is often limited, due to …
traversability over sloped terrains. However, its range of adjustment is often limited, due to …
Layered-cost-map-based traffic management for multiple amrs via a dds
A traffic management system can be used to control multiple automated mobile robots
(AMRs) effectively. This paper proposes traffic management for multiple AMRs based on a …
(AMRs) effectively. This paper proposes traffic management for multiple AMRs based on a …
Layered Cost-Map-Based Traffic Management for Multiple Automated Mobile Robots via a Data Distribution Service
This letter proposes traffic management for multiple automated mobile robots (AMRs) based
on a layered cost map. Multiple AMRs communicate via a data distribution service (DDS) …
on a layered cost map. Multiple AMRs communicate via a data distribution service (DDS) …