Zobrazeno 1 - 10
of 230
pro vyhledávání: '"de Ruiter, Anton"'
The collision avoidance constraints are prominent as non-convex, non-differentiable, and challenging when defined in optimization-based motion planning problems. To overcome these issues, this paper presents a novel non-conservative collision avoidan
Externí odkaz:
http://arxiv.org/abs/2404.07916
Publikováno v:
In Advances in Space Research 1 February 2024 73(3):2040-2059
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 environments. Individually, RL and FMP algorithms each have their own
Externí odkaz:
http://arxiv.org/abs/2001.06627
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 enables autonomous agents to generate individual trajectories independently
Externí odkaz:
http://arxiv.org/abs/1909.05415
This note studies (practical) asymptotic stability of nonlinear networked control systems whose protocols are not necessarily uniformly globally exponentially stable. In particular, we propose a Lyapunov-based approach to establish (practical) asympt
Externí odkaz:
http://arxiv.org/abs/1810.02898
Publikováno v:
In Acta Astronautica January 2023 202:119-129
Publikováno v:
In Acta Astronautica September 2022 198:354-365
Autor:
Lang, Xiaoyu, de Ruiter, Anton
Publikováno v:
In Acta Astronautica April 2022 193:370-380
Autor:
Alger, Mike, de Ruiter, Anton
Publikováno v:
In Acta Astronautica March 2022 192:157-167