Results 21 to 30 of about 8,269 (263)

AUV Dynamic Obstacle Avoidance Method Based on Improved PPO Algorithm

open access: yesIEEE Access, 2022
Designing a reasonable obstacle avoidance method for AUV 3D path planning is difficult, and existing obstacle avoidance methods have certain drawbacks. For example, they are only applicable to 2D planar applications and cannot effectively handle dynamic ...
Guohao Zhu   +6 more
doaj   +1 more source

Leader–Follower Dynamics in Complex Obstacle Avoidance Task

open access: yesInternational Journal of Social Robotics, 2022
13 pages, 7 ...
Jernej Camernik   +2 more
openaire   +2 more sources

Dynamic Movement Primitives: Volumetric Obstacle Avoidance

open access: yes2019 19th International Conference on Advanced Robotics (ICAR), 2019
Dynamic Movement Primitives (DMPs) are a framework for learning a trajectory from a demonstration. The trajectory can be learned efficiently after only one demonstration, and it is immediate to adapt it to new goal positions and time duration. Moreover, the trajectory is also robust against perturbations.
Michele Ginesi   +5 more
openaire   +2 more sources

The Control Method of Autonomous Flight Avoidance Barriers of UAVs in Confined Environments

open access: yesSensors, 2023
This paper proposes an improved 3D-Vector Field Histogram (3D-VFH) algorithm for autonomous flight and local obstacle avoidance of multi-rotor unmanned aerial vehicles (UAVs) in a confined environment.
Tiantian Dong   +3 more
doaj   +1 more source

Neural Network Dynamics for Path Planning and Obstacle Avoidance [PDF]

open access: yesNeural Networks, 1995
Abstract A model of a topologically organized neural network of a Hopfield type with nonlinear analog neurons is shown to be very effective for path planning and obstacle avoidance. This deterministic system can rapidly provide a proper path, from any arbitrary start position to any target position, avoiding both static and moving obstacles of ...
Glasius, R.   +2 more
openaire   +4 more sources

Obstacle avoidance in a dynamic environment: a collision cone approach [PDF]

open access: yesIEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 1998
A novel collision cone approach is proposed as an aid to collision detection and avoidance between irregularly shaped moving objects with unknown trajectories. It is shown that the collision cone can be effectively used to determine whether collision between a robot and an obstacle (both moving in a dynamic environment) is imminent. No restrictions are
Chakravarthy, Animesh, Ghose, Debasish
openaire   +2 more sources

Three-Dimensional Autonomous Obstacle Avoidance Algorithm for UAV Based on Circular Arc Trajectory

open access: yesInternational Journal of Aerospace Engineering, 2021
This paper proposes an innovative and efficient three-dimensional (3D) autonomous obstacle algorithm for unmanned aerial vehicles (UAVs) which works by generating circular arc trajectories to avoid obstacles.
Jiandong Guo   +4 more
doaj   +1 more source

Dynamic Planning for Obstacle Avoidance of Crawler Based on Gaussian Model

open access: yesIEEE Access, 2023
In order to solve the problems of obstacle avoidance planning and trajectory optimization of unmanned platform in hilly orchards, this paper proposes a dynamic planning algorithm based on Gaussian probability model to predict dynamic obstacle behavior ...
Ying Zhao   +5 more
doaj   +1 more source

Autonomous Obstacle Avoidance Algorithm for Unmanned Surface Vehicles Based on an Improved Velocity Obstacle Method

open access: yesISPRS International Journal of Geo-Information, 2021
Focusing on the collision avoidance problem for Unmanned Surface Vehicles (USVs) in the scenario of multi-vessel encounters, a USV autonomous obstacle avoidance algorithm based on the improved velocity obstacle method is proposed.
Jia Ren, Jing Zhang, Yani Cui
doaj   +1 more source

Two-step dynamic obstacle avoidance

open access: yesKnowledge-Based Systems
Dynamic obstacle avoidance (DOA) is a fundamental challenge for any autonomous vehicle, independent of whether it operates in sea, air, or land. This paper proposes a two-step architecture for handling DOA tasks by combining supervised and reinforcement learning (RL). In the first step, we introduce a data-driven approach to estimate the collision risk
Fabian Hart, Martin Waltz, Ostap Okhrin
openaire   +2 more sources

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