Virtual obstacles for sensors incapacitation in robot navigation: A systematic review of 2D path planning

T Ngwenya, M Ayomoh, S Yadavalli - Sensors, 2022 - mdpi.com
The field of mobile robot (MR) navigation with obstacle avoidance has largely focused on
real, physical obstacles as the sole external causative agent for navigation impediment. This …

Visual navigation and obstacle avoidance control for agricultural robots via LiDAR and camera

C Han, W Wu, X Luo, J Li - Remote Sensing, 2023 - mdpi.com
Obstacle avoidance control and navigation in unstructured agricultural environments are key
to the safe operation of autonomous robots, especially for agricultural machinery, where cost …

Efficient motion planning based on kinodynamic model for quadruped robots following persons in confined spaces

Z Zhang, J Yan, X Kong, G Zhai… - IEEE/ASME Transactions …, 2021 - ieeexplore.ieee.org
Quadruped robots have superior terrain adaptability and flexible movement capabilities than
traditional robots. In this article, we innovatively apply it in person-following tasks, and …

[PDF][PDF] 狭窄空间的位姿辅助点TEB 无人车导航方法

栾添添, 王皓, 尤波, 孙明晓 - 仪器仪表学报, 2023 - jemi.cnjournals.com
针对无人车在狭窄空间环境中采用传统时间弹性带(TEB) 算法通过率低下以及速度突变的问题,
提出一种位姿辅助点TEB 算法(PAP-TEB). 通过在狭窄空间两侧添加位姿辅助点 …

The Impact of LiDAR Configuration on Goal-Based Navigation within a Deep Reinforcement Learning Framework

KB Olayemi, M Van, S McLoone, S McIlvanna, Y Sun… - Sensors, 2023 - mdpi.com
Over the years, deep reinforcement learning (DRL) has shown great potential in mapless
autonomous robot navigation and path planning. These DRL methods rely on robots …

Cascaded continuous sliding mode control for tracked mobile robot via nonlinear disturbance observer

H Wang, Y Zhang, X Wang, Y Feng - Computers & Electrical Engineering, 2022 - Elsevier
This paper addresses a robust continuous sliding mode control (CSMC) approach for the
tracked mobile robot (TMR). Considering the attractive properties of strong robustness and …

Full coverage path planning recombination framework for unmanned vehicles with multi-objective constraints

J Fu, W Yao, G Sun, J Liu, L Wu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article aims to solve the problem of full coverage path planning (FCPP) for unmanned
vehicles with multi-objective constraints in an obstacle environment. A novel multi-objective …

[PDF][PDF] 基于IGCF 算法和CSFPPSO-ESN 算法的工业机器人末端执行器位姿重复性检测

于振, 万俊贺, 刘海林, 裘祖荣, 王志远 - 仪器仪表学报, 2023 - researchgate.net
工业机器人在智能制造领域具有举足轻重的地位, 其末端执行器位姿的重复性是衡量机器人完成
精密作业能力的重要指标. 本文针对机器人末端执行器的位姿重复性在线检测 …

Flying in Dynamic Scenes With Multitarget Velocimetry and Perception-Enhanced Planning

H Chen, CY Wen, F Gao, P Lu - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Micro drones have been widely applied in applications, such as aerial cinematography and
environment exploration. Due to the presence of numerous demanding scenes, such as …

Toward safer and energy efficient global trajectory planning of self-guided vehicles for material handling system in dynamic environment

M Graba, A Amamou, S Kelouwani, B Allani… - IEEE …, 2023 - ieeexplore.ieee.org
For a sustainable operation of multiple Self-Guided Vehicles (SGVs) in a dynamic
manufacturing environment, it is essential to guarantee collision-free and efficient navigation …