Search · four archives
Search · four archives
15 papers · ranked by Valyu relevance
Dipanwita Guhathakurta, Fatemeh Rastgar, M. Aditya Sharma, K. Madhava Krishna + 1 more
'K. Madhava Krishna' 'Arun Kumar Singh'] We present a joint multi-robot trajectory optimizer that can compute trajectories for tens of robots in aerial swarms within a small fraction of a second. The computational efficiency of our approach is built on breaking the per-iteration computation of the joint optimization…
Yifei Bi, Jianing Luo, Jiwei Zhu, Junxiu Liu + 4 more
'Dehong Huo' 'Xiangrong Su'] Multi-robot systems are significant in decision-making capabilities and applications, but avoiding collisions during movement remains a critical challenge. Existing decentralized obstacle avoidance strategies, while low in computational cost, often fail to ensure safety effectively. To…
Asma Ayari, Sadok Bouamama
Multiple robot systems have become a major study concern in the field of robotic research. Their control becomes unreliable and even infeasible if the number of robots increases. In this paper, a new dynamic distributed particle swarm optimization (D2PSO) algorithm is proposed for trajectory path planning of multiple…
Changwon Kim, Jong-Seob Won
This study presents a multi-robot navigation strategy based on a multi-objective decision-making algorithm, the Fuzzy Analytic Hierarchy Process (FAHP). FAHP analytically selects an optimal position as a sub-goal among points on the sensing boundary of a mobile robot considering the following three objectives: the…
Xiangda Yan, Zhe Zeng, Keyan He, Huajie Hong
Cooperative autonomous exploration is a challenging task for multi-robot systems, which can cover larger areas in a shorter time or path length. Using multiple mobile robots for cooperative exploration of unknown environments can be more efficient than a single robot, but there are also many difficulties in multi-robot…
Fatemeh Rekabi Bana, Tomáš Krajník, Farshad Arvin
Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This paper proposes a new multi-agent path-planning approach to determine a…
Tingjun Lei, Pradeep Chintam, Chaomin Luo, Lantao Liu + 3 more
'David Cheneler' 'Stephen Monk'] In real-world applications, multiple robots need to be dynamically deployed to their appropriate locations as teams while the distance cost between robots and goals is minimized, which is known to be an NP-hard problem. In this paper, a new framework of team-based multi-robot task…
Sagar Chowdhury, Wuming Jing, David J. Cappelleri, Toshio Fukuda + 3 more
'Mohd Ridzuan bin Ahmad' 'Yajing Shen' 'Nam-Trung Nguyen'] In this paper, we have developed an approach for independent autonomous navigation of multiple microrobots under the influence of magnetic fields and validated it experimentally. We first developed a heuristics based planning algorithm for generating…
Hussam Fakhouri, Sadi Alawadi, Alexander Galozy, Fahed Alkhabbas + 4 more
Robotic path planning is a fundamental requirement for autonomous navigation, where a robot must reach a target while avoiding obstacles and producing a feasible, smooth, and efficient trajectory. This paper presents SHARP, a hybrid metaheuristic planning framework based on Particle Swarm Optimization, Sine Cosine…
Panagiotis Vlantis, Charalampos P. Bechlioulis, Kostas J. Kyriakopoulos, Nir Shvalb + 1 more
'Kostas J. Kyriakopoulos' 'Nir Shvalb' 'Amir Shapiro'] In this work, we propose a hybrid control scheme to address the navigation problem for a team of disk-shaped robotic platforms operating within an obstacle-cluttered planar workspace. Given an initial and a desired configuration of the system, we devise a…
Gregor Klančar, Marija Seder, Jesús Ureña
In this paper, we propose a global navigation function applied to model predictive control (MPC) for autonomous mobile robots, with application to warehouse automation. The approach considers static and dynamic obstacles and generates smooth, collision-free trajectories. The navigation function is based on a potential…
Zhengyang He, Xiaojie Tang, Fengyun Zhang
With the rapid development of robot technology, the multi-robot cooperation system has been widely used in rescue, monitoring, logistics, and other fields. Aiming at the key problems in multi-robot cooperative localization and target search, considering the search time, search mileage, and search risk, a cooperative…
Guibin Sun, Rui Zhou, Zhao Ma, Yongqi Li + 3 more
'Zhang Chen' 'Shiyu Zhao'] The fascinating collective behaviors of biological systems have inspired extensive studies on shape assembly of robot swarms. Here, we propose a strategy for shape assembly of robot swarms based on the idea of mean-shift exploration: when a robot is surrounded by neighboring robots and…
Xiaoting Dong, Guangxi Wan, Peng Zeng, Chunhe Song + 5 more
'Fei Tao' 'Yanhua Long' 'Haoran Wei' 'Zhenghua Huang'] The robot task sequencing problem and trajectory planning problem are two important issues in the robotic optimization domain and are solved sequentially in two separate levels in traditional studies. This paradigm disregards the potential synergistic impact…
Xiaolong Zhang, Yu Huang, Youmin Rong, Gen Li + 2 more
With the rapid development of robotics, wheeled mobile robots are widely used in smart factories to perform navigation tasks. In this paper, an optimal trajectory planning method based on an improved dolphin swarm algorithm is proposed to balance localization uncertainty and energy efficiency, such that a minimum total…