Keywords: Obstacle avoidance
Close
Follow your search
Access your saved searches in your account

Would you like to receive an alert when new items match your search?
Close Modal
Sort by
Journal Articles
Journal Articles
Journal Articles
Industrial Robot (2025) 52 (3): 425–432.
Published: 12 December 2024
..., composite virtual forces are generated on the haptic device to enhance operational stability and prevents unintentional operations that could bring the robot into close proximity with obstacles. Findings The VF method can accomplish online obstacle avoidance and operation guidance. The experimental...
Journal Articles
Industrial Robot (2025) 52 (1): 9–17.
Published: 16 July 2024
... of dynamic obstacles. This paper aims to propose a dynamic obstacle avoidance method based on reinforcement learning to address real-time processing of dynamic obstacles. Design/methodology/approach This paper introduces an innovative method that introduces a feature extraction network that integrates...
Journal Articles
Journal Articles
Journal Articles
Journal Articles
Industrial Robot (2022) 49 (2): 301–310.
Published: 29 October 2021
... a natural working environment and generate obstacle avoidance data for training. To ensure a smooth transfer to a real robot, the automatic domain randomization technique is used to generate randomly distributed environmental parameters through the obstacle avoidance simulation of virtual robots...
Journal Articles
Journal Articles
Industrial Robot (2021) 48 (3): 423–441.
Published: 08 April 2021
... at the minimum required time, collision-free obstacle avoidance in static and dynamic environments and reaching to the static and dynamic goals. The proposed navigational controller performs linearly and nonlinearly both with reduced error-based objective function by Riemannian metric and scalar curvature...
Journal Articles
Industrial Robot (2020) 47 (6): 801–811.
Published: 18 October 2019
... and the experimental results demonstrate that the improved fuzzy optimized Q-Learning obstacle avoidance algorithm is feasible and effective. Originality/value The improved fuzzy optimized Q-Learning (FOQL) algorithm is used to solve the avoidance obstacles problem of the robot in the environment. To reduce...
Journal Articles
Industrial Robot (2020) 47 (2): 253–265.
Published: 02 September 2019
...Rupeng Yuan; Fuhai Zhang; Jiadi Qu; Guozhi Li; Yili Fu Purpose This paper aims to provide a novel obstacle avoidance method based on multi-information inflation map. Design/methodology/approach In this paper, the multi-information inflation map is introduced, which considers different...
Journal Articles
Industrial Robot (2019) 46 (2): 211–222.
Published: 07 May 2019
... and tracking control (ILTPTC) framework for autonomous vehicles driving along a reference path with obstacle avoidance is presented in Li et al. (2017) . However, they do not consider the interactions between the ground and the tire and, in fact, the trajectory planning is limited to the generation...
Journal Articles
Journal Articles
Journal Articles

or Create an Account

Close Modal
Close Modal