3 citations · 5 across the 4 of their papers we have counts for
4 papers
Multi-agent Motion Planning for Dense and Dynamic Environments via Deep Reinforcement Learning
Samaneh Hosseini Semnani, Hugh Liu, Michael Everett +2
This paper introduces a hybrid algorithm of deep reinforcement learning (RL) and Force-based motion planning (FMP) to solve distributed motion planning problem in dense and dynamic…
Force-based Algorithm for Motion Planning of Large Agent Teams
Samaneh Hosseini Semnani, Anton de Ruiter, Hugh Liu
This paper presents a distributed, efficient, scalable and real-time motion planning algorithm for a large group of agents moving in 2 or 3-dimensional spaces. This algorithm enabl…
Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
Qingrui Zhang, Hugh H. T. Liu
Robust cooperative formation control is investigated in this paper for fixed-wing unmanned aerial vehicles in close formation flight to save energy. A novel cooperative control met…
Robust nonlinear control of close formation flight
Qingrui Zhang, Hugh H. T. Liu
This paper investigates the robust nonlinear close formation control problem. It aims to achieve precise position control at dynamic flight operation for a follower aircraft under…