SMART: Self-Morphing Anytime Replanning Tree

05/10/2023
by   Zongyuan Shen, et al.
0

The paper presents an algorithm, called Self- Morphing Anytime Replanning Tree (SMART), that facilitates anytime replanning in dynamic environments. SMART performs risk-based tree-pruning if its current path is obstructed by nearby moving obstacle(s), resulting in multiple disjoint subtrees. Then, for speedy recovery, it exploits these subtrees and performs informed tree-repair at hot-spots that lie at the intersection of subtrees to find a new path. The performance of SMART is comparatively evaluated with seven existing algorithms through extensive simulations. Two scenarios are considered with: 1) dynamic obstacles and 2) both static and dynamic obstacles. The results show that SMART yields significant improvements in replanning time, success rate and travel time. Finally, the performance of SMART is validated by a real laboratory experiment.

READ FULL TEXT

page 1

page 4

page 7

page 8

research
09/10/2021

SMARRT: Self-Repairing Motion-Reactive Anytime RRT for Dynamic Environments

This paper addresses the fast replanning problem in dynamic environments...
research
04/22/2021

MRRT: Multiple Rapidly-Exploring Random Trees for Fast Online Replanning in Dynamic Environments

This paper presents a novel algorithm, called MRRT, which uses multiple ...
research
01/17/2022

Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments

Obstacle avoidance of quadrotors in dynamic environments is still a very...
research
08/15/2022

Multirotor Planning in Dynamic Environments using Temporal Safe Corridors

In this paper, we propose a new method for multirotor planning in dynami...
research
06/28/2023

Avoidance of Concave Obstacles through Rotation of Nonlinear Dynamics

Controlling complex tasks in robotic systems, such as circular motion fo...
research
02/28/2023

i2LQR: Iterative LQR for Iterative Tasks in Dynamic Environments

This work introduces a novel control strategy called Iterative Linear Qu...
research
04/19/2019

Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework

Given a mapped environment, we formulate the problem of visually trackin...

Please sign up or login with your details

Forgot password? Click here to reset