Obstacle avoidance is a necessary behavior to guarantee the safety of an unmanned aerial
vehicle (UAV). However, it is a challenge for the UAV to detect and avoid high-speed flying …

Navigation in unknown indoor environments with fast collision avoidance capabilities is an
ongoing research topic. Traditional motion planning algorithms rely on precise maps of the …

The TEB hierarchical planner for real-time navigation through unknown environments is
highly effective at balancing collision avoidance with goal directed motion. Designed over …

Robotic obstacle avoidance is an important issue in robotic navigation for unknown or
partially known, dynamic environments. A good number of techniques have already been …

This paper proposes a new concept, the Admissible Gap (AG), for reactive collision
avoidance. A gap is called admissible if it is possible to find a collision-free motion control …

Due to the requirements for mobile robots to search or rescue in unknown environments,
reactive navigation which plays an essential role in these applications has attracted …

This paper presents a novel approach to improve the online implementation performance of
existing obstacle avoidance and path planning methods for environments with no maps. The …

In this paper, a Simulink model for the robot navigation in unknown environment is
presented. The robot navigation is handled by two controllers: pure pursuit and fuzzy logic …

A new reactive collision avoidance method for navigation of aerial robots (such as
unmanned aerial vehicles (UAVs)) in unstructured urban/suburban environments is …

This paper introduces a strategy for the path planning problem for platforms with limited
sensor and processing capabilities. The proposed algorithm does not require any prior …