Hybrid dynamic moving obstacle avoidance using a stochastic reachable set-based potential field
One of the primary challenges for autonomous robotics in uncertain and dynamic
environments is planning and executing a collision-free path. Hybrid dynamic obstacles …
environments is planning and executing a collision-free path. Hybrid dynamic obstacles …
A PRM approach to path planning with obstacle avoidance of an autonomous robot
A path planning algorithm is one of the most important parts of the system of an intelligent
robot. There are many studies to avoid obstacles in a navigation route for a known …
robot. There are many studies to avoid obstacles in a navigation route for a known …
Path planning for a robot manipulator based on probabilistic roadmap and reinforcement learning
The probabilistic roadmap (PRM) method, which is a popular path planning scheme, for a
manipulator, can find a collision-free path by connecting the start and goal poses through a …
manipulator, can find a collision-free path by connecting the start and goal poses through a …
Stochastic reachability based motion planning for multiple moving obstacle avoidance
One of the many challenges in designing autonomy for operation in uncertain and dynamic
environments is the planning of collision-free paths. Roadmap-based motion planning is a …
environments is the planning of collision-free paths. Roadmap-based motion planning is a …
From sensor-space to eigenspace–a novel real-time obstacle avoidance method for mobile robots
S Zaheer, T Gulrez… - IETE Journal of …, 2022 - Taylor & Francis
This paper presents a novel real-time obstacle avoidance and navigation technique called
as “Free-configuration Eigenspace”(FCE). The FCE enables an autonomous robot to detect …
as “Free-configuration Eigenspace”(FCE). The FCE enables an autonomous robot to detect …
Aggressive moving obstacle avoidance using a stochastic reachable set based potential field
Identifying collision-free trajectories in environments with dynamic obstacles is a significant
challenge. However, many pertinent problems occur in dynamic environments, eg, flight …
challenge. However, many pertinent problems occur in dynamic environments, eg, flight …
Simulation performance comparison of A*, GLS, RRT and PRM path planning algorithms
Path planning is among the essential qualities of an autonomous robot. The ability to build a
collision-free pathway from a pre-defined point to another is known as path planning. There …
collision-free pathway from a pre-defined point to another is known as path planning. There …
UAV trajectory generation based on integration of RRT and minimum snap algorithms
Aiming at the problems that carrying out forest fire monitoring and fighting missions by using
the Rapidly-exploring Randomized Tree (RRT) algorithm to plan paths cannot adapt to the …
the Rapidly-exploring Randomized Tree (RRT) algorithm to plan paths cannot adapt to the …
Adaptive tactical behaviour planner for autonomous ground vehicle
M Rodrigues, A McGordon, G Gest… - 2016 UKACC 11th …, 2016 - ieeexplore.ieee.org
The ability of autonomous vehicles to successfully replace human drivers depends on their
capability to plan safe, efficient and usable paths in dynamically evolving traffic scenarios …
capability to plan safe, efficient and usable paths in dynamically evolving traffic scenarios …
Performance analysis of path planning techniques for autonomous mobile robots
S Zaheer, M Jayaraju, T Gulrez - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
This paper presents a comparative study on path planning techniques for autonomous
mobile robots in a cluttered environment. It investigates four well known path planning …
mobile robots in a cluttered environment. It investigates four well known path planning …