The Local Path Planning Algorithm for Amphibious Robots Based on an Improved Dynamic Window Approach
The autonomous navigation capability of amphibious robots in complex water–land environments is a key technology. However, with the existing local path planning methods, it is difficult to meet the autonomous navigation needs of amphibious robots.
Xiaoqiang Dai +5 more
doaj +2 more sources
Windows of opportunity in subseasonal weather regime forecasting: A statistical–dynamical approach
Abstract The Madden–Julian Oscillation (MJO) and stratospheric polar vortex (SPV) are prominent sources of subseasonal predictability in the extratropics. It has been shown that the joint interaction of the MJO and the SPV can modulate the preferred phase of the North Atlantic Oscillation (NAO) and the occurrence of weather regimes ...
Fabian Mockert +3 more
openaire +4 more sources
To overcome the limitations of the sparrow search algorithm and the challenges of dynamic obstacle avoidance in mobile robots, an integrated method combining the enhanced sparrow search algorithm with the dynamic window approach is introduced.
Junting Hou +5 more
doaj +3 more sources
Remote Shared Control With Dynamic Window Approach in Unknown Narrow Environment
For telepresence mobile robots, avoiding collisions in unknown narrow environments has been a significant challenge. This paper defines an unknown environment as having no prior map and a narrow environment as having obstacles close to the robot’s
Xiaoge Feng, Naoki Motoi
doaj +2 more sources
Power-minimization and energy-reduction autonomous navigation of an omnidirectional Mecanum robot via the dynamic window approach local trajectory planning [PDF]
Li Xie, Christian Henkel, Karl A Stol
exaly +2 more sources
Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach [PDF]
Dynamic density estimation is ubiquitous in many applications, including computer vision and signal processing. One popular method to tackle this problem is the "sliding window" kernel density estimator. There exist various implementations of this method that use heuristically defined weight sequences for the observed data. The weight sequence, however,
Yinsong Wang +2 more
openaire +3 more sources
RRT*-Fuzzy Dynamic Window Approach (RRT*-FDWA) for Collision-Free Path Planning
Path planning is an important aspect and component in the research of mobile-robot-related technologies. Many path planning algorithms are only applicable to static environments, while in practical tasks, the uncertainty in dynamic environments increases
Lintao Zhou +4 more
doaj +1 more source
Unmanned transportation in construction scenarios presents a significant challenge due to the presence of complex dynamic on-ground obstacles and potential airborne falling objects.
Da Jiang +7 more
doaj +1 more source
Improvement of Dynamic Window Approach in Dynamic Obstacle Environment
Abstract The dynamic window approach (DWA) controls the movement of the robot by searching the speed space and is widely used in the path planning of mobile robots. However, in the dynamic obstacle environment, when searching for the optimal speed, it is easy to fall into the local optimal solution, which leads to the failure of path ...
Mingpeng Si, Xiangyu Zhou, Yi Zhang
openaire +1 more source
Adaptive Reward Computation in Reinforcement Learning-Based Continuous Integration Testing
Reinforcement learning (RL) has been applied to prioritizing test cases in Continuous Integration (CI) testing, where the reward plays a crucial role.
Yang Yang +3 more
doaj +1 more source

