International Journal of Intelligent Robotics and Applications

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Mismatched image identification using histogram of loop closure error for feature-based optical mapping
International Journal of Intelligent Robotics and Applications - Tập 3 - Trang 196-206 - 2019
Armagan Elibol, Nak-Young Chong, Hyunjung Shim, Jinwhan Kim, Nuno Gracias, Rafael Garcia
Image registration is one of the most fundamental steps in optical mapping from mobile platforms. Lately, image registration is performed by detecting salient points in two images and matching their descriptors. Robust methods [such as Random Sample Consensus (RANSAC)] are employed to eliminate outliers and compute the geometric transformation between the coordinate frames of images, typically a h...... hiện toàn bộ
2D-3D hybrid mapping for path planning in autonomous robots
International Journal of Intelligent Robotics and Applications - Tập 7 - Trang 291-303 - 2023
Rajesh Kannan Megalingam, Santosh Tantravahi, Hemanth Sai Surya Kumar Tammana, Hari Sudarshan Rahul Puram
Computational complexity is one of the critical attributes of robot design. Mapping, a vitally important feature of auto-navigation of robots is one such area where computational complexity is of concern. An appropriate spatial representation of the surroundings is required for efficient path planning. Creation of a 2D map alone for a given environment is not sufficient even though it has the leas...... hiện toàn bộ
Robot grasping in dense clutter via view-based experience transfer
International Journal of Intelligent Robotics and Applications - Tập 6 - Trang 23-37 - 2021
Jen-Wei Wang, Chia-Lien Li, Jian-Lun Chen, Jyh-Jone Lee
To perform object grasping in dense clutter, we propose a novel algorithm for grasp detection. To obtain grasp candidates, we developed instance segmentation and view-based experience transfer as part of the algorithm. Subsequently, we established an algorithm for collision avoidance and stability analysis to determine the optimal grasp for robot grasping. The strategy for the view-based experienc...... hiện toàn bộ
DKH: a hybridized approach for image inpainting using Bayes probabilistic-based image fusion
International Journal of Intelligent Robotics and Applications - Tập 7 - Trang 149-163 - 2022
Manjunath R. Hudagi, Shridevi Soma, Rajkumar L. Biradar
Image inpainting is the process of removing the unwanted objects from the image or it refers to the restoration of the original image. Despite the fact that there are various ways for image inpainting, these traditional approaches have some limitations in terms of data loss, which the proposed methodology should be able to address. This paper introduces a hybrid image inpainting method, termed DKH...... hiện toàn bộ
Multi-objective offline and online path planning for UAVs under dynamic urban environment
International Journal of Intelligent Robotics and Applications - Tập 6 - Trang 119-138 - 2021
Nassim Sadallah, Saïd Yahiaoui, Ahcene Bendjoudi, Nadia Nouali-Taboudjemat
This paper presents a multi-objective hybrid path planning method MOHPP for unmanned aerial vehicles (UAVs) in urban dynamic environments. Several works have been proposed to find optimal or near-optimal paths for UAVs. However, most of them did not consider multiple decision criteria and/or dynamic obstacles. In this paper, we propose a multi-objective offline/online path planning method to compu...... hiện toàn bộ
Bilateral control of functional electrical stimulation and robotics-based telerehabilitation
International Journal of Intelligent Robotics and Applications - Tập 1 - Trang 6-18 - 2017
Naji Alibeji, Brad E. Dicianno, Nitin Sharma
Currently, a telerehabilitation system includes a therapist and a patient where the therapist interacts with the patient, typically via a verbal and visual communication, for assessment and supervision of rehabilitation interventions. This mechanism often fails to provide physical assistance, which is a modus operandi during physical therapy or occupational therapy. Incorporating an actuation moda...... hiện toàn bộ
Model-free based adaptive BackStepping-Super Twisting-RBF neural network control with α-variable for 10 DOF lower limb exoskeleton
International Journal of Intelligent Robotics and Applications - - 2024
Farid Kenas, Nadia Saadia, Amina Ababou, Noureddine Ababou
Lower limb exoskeletons play a pivotal role in augmenting human mobility and improving the quality of life for individuals with mobility impairments. In light of these pressing needs, this paper presents an improved control strategy for a 10-degree-of-freedom lower limb exoskeleton, with a particular focus on enhancing stability, precision, and robustness. To simplify the intricate dynamic model o...... hiện toàn bộ
System identification of wind effects on multirotor aircraft
International Journal of Intelligent Robotics and Applications - Tập 6 Số 1 - Trang 104-118 - 2022
Peng Wei, Xinfan Lin, Zhaodan Kong
AbstractMultirotor airplanes are widely used in many outdoor applications, e.g., agriculture, transportation, and public safety, where winds might be strong and prevalent. However, the effects of wind on multirotor aircraft are still not fully understood yet. The objective of this paper is to investigate and model wind effects on a real hovering octocopter. The win...... hiện toàn bộ
Vehicle specific robust traversability indices using roadmaps on 3D pointclouds
International Journal of Intelligent Robotics and Applications - Tập 4 - Trang 490-506 - 2020
Muhammad Mudassir Khan, Karsten Berns, Abubakr Muhammad
Roads undergo rapid deterioration due to various economic, social and natural reasons. The uncertainty and unavailability of road safety information has become a major issue in reliably transporting goods, movement of heavy machinery, transport of people and materials to/from disaster areas and in even giving plain guarantees for safe traversability of a road that is good on paper. In this paper, ...... hiện toàn bộ
Combining boosting machine learning and swarm intelligence for real time object detection and tracking: towards new meta-heuristics boosting classifiers
International Journal of Intelligent Robotics and Applications - Tập 1 - Trang 410-428 - 2017
Sidahmed Benabderrahmane
Artificial vision in robotics involves real time detection of objects for fast decision making. Such intelligent systems require efficient algorithms and big learning database of examples for producing robust classifiers. Several methods of objects detection and tracking have been proposed in the literature. However, even though the detection rates have been improved, the processing time and the c...... hiện toàn bộ
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