Results 61 to 70 of about 113,421 (265)
Representation Space Analytical Method for Path Planning of Free-Floating Space Manipulators
Path planning is necessary for free-floating space manipulators to perform space tasks. However, the coupled motion between manipulator and base directly acts on path planning procedure, which results in current manipulator motion state is dependent on ...
Qingxuan Jia, Bonan Yuan, Gang Chen
doaj +1 more source
Multi-Robot Motion Planning Using Swarm Intelligence
Swarm intelligence theory is proposed for motion planning of multi-robot systems. Multiple particles start from different points in the solutions space and interact to each other while moving towards the goal position.
Gerasimos G. Rigatos
doaj +2 more sources
Topological Complexity of Motion Planning [PDF]
11 pages.
openaire +5 more sources
Empowering Adult Learning How AI Fuels Progress Across Disciplines and Professions
ABSTRACT This article examines the evolving role of artificial intelligence (AI) as a transformative cognitive partner across educational and professional fields. It explores how AI shifts attention away from routine technical tasks and toward human‐centered skills such as critical thinking, ethical decision‐making, and professional judgment.
Rachel Wlodarsky
wiley +1 more source
Kinodynamic Motion Planning for Autonomous Vehicles
This article proposes a computationally effective motion planning algorithm for autonomous ground vehicles operating in a semi-structured environment with a mission specified by waypoints, corridor widths and obstacles. The algorithm switches between two
Jiwung Choi
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ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley +1 more source
Motion planning in cartesian product graphs
Let G be an undirected graph with n vertices. Assume that a robot is placed on a vertex and n − 2 obstacles are placed on the other vertices. A vertex on which neither a robot nor an obstacle is placed is said to have a hole.
Deb Biswajit, Kapoor Kalpesh
doaj +1 more source
Guided Stochastic Optimization for Motion Planning
Learning from Demonstration (LfD) is a family of methods used to teach robots specific tasks. It is used to assist them with the increasing difficulty of performing manipulation tasks in a scalable manner.
Bence Magyar +8 more
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The Computational Complexity of Motion Planning
Summary: We show that a generalization of a popular motion planning puzzle called Lunar Lockout is computationally intractable. In particular, we show that the problem is PSPACE-complete. We begin with a review of NP-completeness and polynomial-time reductions, introduce the class PSPACE, and motivate the significance of PSPACE-complete problems ...
Jeffrey R. K. Hartline +1 more
openaire +3 more sources
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley +1 more source

