Zobrazeno 1 - 10
of 47 183
pro vyhledávání: '"Motion planning"'
Publikováno v:
Tongxin xuebao, Vol 45, Pp 55-67 (2024)
To improve the convergence performance of zeroing neural network (ZNN) for time-varying matrix computation problems solving, a terminal zeroing neural network (TZNN) with noise resistance and its logarithmically accelerated form (LA-TZNN) were propos
Externí odkaz:
https://doaj.org/article/83e61488ffd749309057ae72b0786ca9
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 8481-8500 (2024)
Abstract In Automated Fiber Placement (AFP), the substantial structure of the placement robot, the variable mold shapes, and the limited free space pose significant challenges for planning collision-free robot transitions. The task involves planning
Externí odkaz:
https://doaj.org/article/7afad737dca14e368e73a044079b795c
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 5, pp. 746-759.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-02-2024-0043
Autor:
Xidias, Elias, Zacharia, Paraskevi
Publikováno v:
Engineering Computations, 2024, Vol. 41, Issue 5, pp. 1301-1326.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EC-09-2023-0612
Publikováno v:
SICE Journal of Control, Measurement, and System Integration, Vol 17, Iss 1, Pp 19-30 (2024)
For autonomous navigation, a mobile robot is required to move toward a destination while avoiding obstacles. In this paper, we present a motion planner based on CNN. In terms of obstacle avoidance, since a position of a dynamic obstacle changes with
Externí odkaz:
https://doaj.org/article/768f5fd4658240dcabcbf8694d58cd13
Autor:
MIAO Bing, GE Shirong
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 8, Pp 1-13 (2024)
In order to further improve the intelligence level of coal working faces and achieve autonomous deduction, autonomous learning, and autonomous optimization of shearer navigation cutting, based on the concept of shearer autonomous navigation cutting t
Externí odkaz:
https://doaj.org/article/7f4d58e8afea4457bc8b8f85f3416d55
Autor:
Zhilin Jin, Shaowei He
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-20 (2024)
Abstract Anti-rollover is a critical factor to consider when planning the motion of autonomous heavy trucks. This paper proposed a method for autonomous heavy trucks to generate a path that avoids collisions and minimizes rollover risk. The correspon
Externí odkaz:
https://doaj.org/article/6fe143b5e7eb40e4acd28128c2158354
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7497-7512 (2024)
Abstract In the field of autonomous mobile robots, sampling-based motion planning methods have demonstrated their efficiency in complex environments. Although the Rapidly-exploring Random Tree (RRT) algorithm and its variants have achieved significan
Externí odkaz:
https://doaj.org/article/b1fef7a7d14e4c40856fe609970711a7