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Shortest Trajectory of a Dubins Vehicle with a Controllable Laser Analysis


Conceitos Básicos
Formulating optimal motion planning for Dubins-Laser system.
Resumo

The content introduces a novel planar motion planning problem for a Dubins-Laser system, focusing on steering the system to target in minimum time. It discusses applications of UAVs and cooperative agents, formulates joint motion planning for UAV with laser, characterizes optimal trajectory properties, and provides numerical insights. The analysis includes necessary conditions, characterization of trajectories, and solution procedures.

I. Introduction:

  • Accelerated demand for UAVs in various applications.
  • Importance of cooperative heterogeneous agents.

II. Problem Description:

  • Formulation of optimal control problem for Dubins-Laser system.
  • Kinematic equations describing the motion.

III. Necessary Conditions:

  • Application of Pontryagin maximum principle to characterize optimal control.

IV. Characterization of Optimal Trajectory:

  • Establishing minimum time trajectory properties.

V. Solution for Optimal Trajectory:

  • Parameterization and solution procedures for optimal trajectories.
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Estatísticas
From an arbitrary initial position and orientation, the objective is to steer the system so that a given static target is within the range of the laser and oriented at it in minimum time. The number of candidate trajectories can be at most 16.
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Principais Insights Extraídos De

by Shivam Bajaj... às arxiv.org 03-20-2024

https://arxiv.org/pdf/2403.12346.pdf
Shortest Trajectory of a Dubins Vehicle with a Controllable Laser

Perguntas Mais Profundas

How does the inclusion of a controllable laser impact traditional Dubins vehicle motion planning

The inclusion of a controllable laser in traditional Dubins vehicle motion planning introduces an additional dynamic element to the system. This allows for more flexibility and precision in steering the vehicle towards a target. By controlling the orientation of the laser, it becomes possible to optimize the trajectory of the Dubins vehicle not only in terms of reaching a target location but also ensuring that the laser is oriented correctly towards the target within minimum time. This integration of a controllable laser adds another dimension to traditional Dubins vehicle motion planning, enabling more complex and efficient navigation strategies.

What are potential real-world applications that could benefit from this optimized trajectory approach

There are several potential real-world applications that could benefit from this optimized trajectory approach with a controllable laser attached to a Dubins vehicle. One such application is autonomous surveillance or reconnaissance missions where precise targeting and tracking are essential. The ability to steer both the vehicle and its attached laser efficiently towards specific targets can enhance situational awareness, improve data collection accuracy, and streamline decision-making processes in security operations. Another application could be in precision agriculture where UAVs equipped with lasers can accurately identify crop health issues or deliver targeted treatments based on sensor data analysis. Additionally, search and rescue missions could benefit from optimized trajectories with controllable lasers by improving search efficiency over large areas while maintaining focus on critical points of interest.

How might advancements in autonomous systems influence the future development of such joint motion planning systems

Advancements in autonomous systems play a significant role in shaping future developments of joint motion planning systems like those involving Dubins vehicles with controllable lasers. As autonomy continues to evolve, these systems can become more sophisticated and capable of handling complex tasks with minimal human intervention. Future advancements may include enhanced sensor technologies for better detection and tracking capabilities, improved algorithms for real-time decision-making based on environmental inputs, and increased collaboration between multiple autonomous agents for coordinated mission execution. These developments will lead to more efficient resource utilization, higher levels of automation, and improved overall performance across various domains such as transportation logistics, surveillance operations, environmental monitoring, and disaster response efforts.
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