no code implementations • 19 Jun 2023 • Huiming Li, Hao Chen, Xiangke Wang, Mengge Zhang, Lincheng Shen
This paper studies the bearing-based time-varying formation control problem for unicycle-type agents without bearing rigidity conditions.
no code implementations • 23 Feb 2023 • Xiaodong He, Zhongkui Li, Xiangke Wang, Zhiyong Geng
Secondly, given feasible formations, we design a formation controller by introducing a virtual leader and employing the compensation of rotation, followed by proving the stability of the closed-loop system.
no code implementations • 26 Mar 2022 • Yirui Cong, Xiangke Wang, Xiangyun Zhou
the initial condition.
no code implementations • 16 Nov 2020 • Yuan Chang, Chao Yan, Xingyu Liu, Xiangke Wang, Han Zhou, Xiaojia Xiang, Dengqing Tang
This paper presents a time-efficient scheme for Mars exploration by the cooperation of multiple drones and a rover.
1 code implementation • 1 Sep 2020 • Kun Xiao, Junqi Lu, Ying Nie, Lan Ma, Xiangke Wang, Guohui Wang
A benchmark for multi-UAV task assignment is presented in order to evaluate different algorithms.
no code implementations • 27 May 2020 • Yangguang Yu, Xiangke Wang, Zhiyong Sun, Lincheng Shen
In this paper, a novel design scheme is introduced to solve the optimal control problem for nonlinear systems with unsymmetrical and state-dependent input constraints.
1 code implementation • 3 May 2020 • Kun Xiao, Lan Ma, Shaochang Tan, Yirui Cong, Xiangke Wang
In this paper, a hierarchical multi-UAV simulation platform, called XTDrone, is designed for UAV swarms, which is completely open-source 4 .
1 code implementation • 21 Mar 2020 • Kun Xiao, Shaochang Tan, Guohui Wang, Xueyan An, Xiang Wang, Xiangke Wang
A customizable multi-rotor UAVs simulation platform based on ROS, Gazebo and PX4 is presented.
Robotics
no code implementations • 13 Jun 2019 • Hao Chen, Yirui Cong, Xiangke Wang, Xin Xu, Lincheng Shen
At the coordination level, we prove that even with speed constraints, the proposed control law can make sure the path following errors reduce to zero, while the desired arc distances converge to the desired value.