Abstract: With the widespread application of unmanned aerial vehicles (UAVs) in smart city scenarios under the Internet of Everything, multi-UAV collaborative trajectory planning faces multiple ...
Researchers have completed the first in-space demonstration of a deep learning method that accelerates trajectory optimization for the Astrobee free-flying robot aboard the International Space Station ...
GRASP is a new gradient-based planner for learned dynamics (a “world model”) that makes long-horizon planning practical by (1 ...
Researchers have introduced an online model-based reinforcement learning algorithm that trains robots directly from real-world interactions, bypassing extensive simulation. The approach builds a ...
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Abstract: Trajectory optimization of electric vertical takeoff and landing (eVTOL) vehicles for urban air mobility (UAM) missions, such as passenger transportation and cargo delivery, has only been ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
Efficient drilling in shale reservoirs requires detailed 3-dimensional (3D) horizontal well trajectories. An orthogonal-arc trajectory (OAT) method assumes a single constant curvature in the curved ...
Multi-vehicle cooperative lane-change motion planning (MVMP) code for the paper “Balancing Computation Speed and Quality: A Decentralized Motion Planning Method for Cooperative Lane Changes of ...
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