我赞成
发表于 2025-3-21 19:22:20
书目名称Robot Intelligence Technology and Applications 7影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0831051<br><br> <br><br>书目名称Robot Intelligence Technology and Applications 7读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0831051<br><br> <br><br>
cajole
发表于 2025-3-21 20:58:37
Nonlinear Autoregressive with Gaussian Process Regression-Based Path-Following Guidance for UAV Undebances such as wind. We propose an adaptive guidance algorithm consisting of two parts: a baseline path-following guidance law with optimal error dynamics and a nonlinear autoregressive with Gaussian process regression (GP-NAR). Firstly, a baseline path-following guidance law is constructed by adopt
颂扬本人
发表于 2025-3-22 01:02:51
CEO-MLCPP: Control-Efficient and Obstacle-Aware Multi-Layer Coverage Path Planner for 3D ReconstructAV). The proposed method rapidly calculates initial viewpoints considering the ground sampling distance (GSD) by partitioning a structure by height. Then, optimal viewpoints are selected by checking the collision and calculating overlaps and coverage. Next, the newly developed collision-aware Travel
Mechanics
发表于 2025-3-22 06:17:20
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发怨言
发表于 2025-3-22 10:23:49
Sampling-Based Path Planning Algorithm Considering Moving Obstacles Based on RRT* obstacles, we need to also consider moving obstacles in a dynamic environment. In multi-agent systems, these obstacles often have known trajectory that must be avoided. Related works in sampling-based algorithms proposed a re-planning mechanism to consider the moving obstacle. However, those algori
万神殿
发表于 2025-3-22 14:43:49
Path Following Algorithm with Small Error for Guide Robotonment, and the robot moves along the waypoints. The conventional path-following methods, such as the pure pursuit and the parallelogram, overshoot when the waypoint is not straight. The proposed method has three states depending on the robot’s position, angle, and path for reducing the trajectory d
padding
发表于 2025-3-22 20:23:45
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Ostrich
发表于 2025-3-23 00:16:51
MDP Formulation for Multi-UAVs Mission Planning with Refueling Constraintsation of multi-agent mission planning. Using the MDP formulation can make persistent mission planning with refueling constraints. The state space of MDP formulation consists of agents’ locations and the uncertainty. In order to avoid an enormous computation, refueling constraint is excluded for a st
Ordeal
发表于 2025-3-23 01:43:34
A*-Based Path Planning for Legged Robots environmental conditions while making the most of the ability to move between non-adjacent terrains. This paper presents an A*-based path-planning algorithm for legged robots. The heuristic functions in A* is constructed mainly based on preference term for long-distance travel and logarithmic barri
interpose
发表于 2025-3-23 06:40:34
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