Zobrazeno 1 - 10
of 153 926
pro vyhledávání: '"Collision avoidance"'
Autor:
Zhou, Shaobo1 (AUTHOR) zhoushaobo@mail.nwpu.edu.cn, Li, Huiping1 (AUTHOR) lihuiping@nwpu.edu.cn, Wu, Tianyu1 (AUTHOR) 2016300502@mail.nwpu.edu.cn
Publikováno v:
Unmanned Systems. Oct2024, p1-10. 10p.
Autor:
Wei, Shiqing, Khorrambakht, Rooholla, Krishnamurthy, Prashanth, Gonçalves, Vinicius Mariano, Khorrami, Farshad
Ensuring the safety of dynamical systems is crucial, where collision avoidance is a primary concern. Recently, control barrier functions (CBFs) have emerged as an effective method to integrate safety constraints into control synthesis through optimiz
Externí odkaz:
http://arxiv.org/abs/2410.19159
Autor:
Patnala, Susmitha, Abdin, Adam
This study develops an AI-based implementation of autonomous On-Orbit Servicing (OOS) mission to assist with spacecraft collision avoidance maneuvers (CAMs). We propose an autonomous `servicer' trained with Reinforcement Learning (RL) to autonomously
Externí odkaz:
http://arxiv.org/abs/2409.17125
Reactive collision avoidance is essential for agile robots navigating complex and dynamic environments, enabling real-time obstacle response. However, this task is inherently challenging because it requires a tight integration of perception, planning
Externí odkaz:
http://arxiv.org/abs/2409.11962
Minimally invasive surgery (MIS) procedures benefit significantly from robotic systems due to their improved precision and dexterity. However, ensuring safety in these dynamic and cluttered environments is an ongoing challenge. This paper proposes a
Externí odkaz:
http://arxiv.org/abs/2409.10135
The proliferation of smartphones and other mobile devices provides a unique opportunity to make Advanced Driver Assistance Systems (ADAS) accessible to everyone in the form of an application empowered by low-cost Machine/Deep Learning (ML/DL) models
Externí odkaz:
http://arxiv.org/abs/2410.19336
Autor:
Koulong, Armel, Pakniyat, Ali
This paper presents a distributed adaptive control strategy for multi-agent systems with heterogeneous dynamics and collision avoidance. We propose an adaptive control strategy designed to ensure leader-following formation consensus while effectively
Externí odkaz:
http://arxiv.org/abs/2410.08440
We investigate the pressureless fractional Euler-alignment system with nonlinear velocity couplings, referred to as the $p$-Euler-alignment system. This model features a nonlinear velocity alignment force, interpreted as a density-weighted fractional
Externí odkaz:
http://arxiv.org/abs/2409.10501