Results 111 to 120 of about 97,833 (315)

A Novel Collision Avoidance Logic for Unmanned Aerial Vehicles Using Real-Time Trajectory Planning [PDF]

open access: yes, 2014
An effective collision avoidance logic should prevent collision without excessive alerting. This requirement would be even more stringent for an automatic collision avoidance logic, which is probably required by Unmanned Aerial Vehicles to mitigate ...
Lai, Chi Kin
core  

Guiding Trajectory Optimization by Demonstrated Distributions

open access: yesIEEE Robotics and Automation Letters, 2017
Trajectory optimization is an essential tool for motion planning under multiple constraints of robotic manipulators. Optimization-based methods can explicitly optimize a trajectory by leveraging prior knowledge of the system and have been used in various applications such as collision avoidance.
Takayuki Osa   +5 more
openaire   +4 more sources

Multi-Objective Trajectory Optimization of Container Material-Handling Robot

open access: yesMachines
To address the collaborative optimization of efficiency, stability, and energy consumption in container part-handling operations of material-handling robots, this paper proposes a multi-objective trajectory-planning method.
Zan Wang   +4 more
doaj   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam   +2 more
wiley   +1 more source

Trajectory planning for optimal robot catching in real-time

open access: yes, 2011
Many real-world tasks require fast planning of highly dynamic movements for their execution in realtime. The success often hinges on quickly finding one of the few plans that can achieve the task at all.
Hirzinger, Gerd   +14 more
core   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

open access: yesAdvanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora   +4 more
wiley   +1 more source

Parameterization-based trajectory planning for an 8-DOF manipulator with multiple constraints

open access: yesBiomimetic Intelligence and Robotics
A physically feasible, reliable, and safe motion is essential for robot operation. A parameterization-based trajectory planning approach is proposed for an 8-DOF manipulator with multiple constraints. The inverse kinematic solution is obtained through an
Ziwu Ren   +3 more
doaj   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Mission Feasibility from Trajectory Optimization and the State Of Space Systems Research at The University Of Auckland

open access: yes, 2019
New Zealand has recently become a space-faring nation, and so is at an exciting time, forming collaborations and deciding where its interests lie. The current state of space systems research at the University of Auckland, which focuses on inexpensive ...
Graham, Darcey   +2 more
core  

Research on Anthropomorphic Obstacle Avoidance Trajectory Planning for Adaptive Driving Scenarios Based on Inverse Reinforcement Learning Theory

open access: yesEngineering
The forward design of trajectory planning strategies requires preset trajectory optimization functions, resulting in poor adaptability of the strategy and an inability to accurately generate obstacle avoidance trajectories that conform to real driver ...
Jian Wu, Yang Yan, Yulong Liu, Yahui Liu
doaj   +1 more source

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