Zobrazeno 1 - 10
of 154 659
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
In the real world, unmanned surface vehicles (USV) often need to coordinate with each other to accomplish specific tasks. However, achieving cooperative control in multi-agent systems is challenging due to issues such as non-stationarity and partial
Externí odkaz:
http://arxiv.org/abs/2410.21290
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
We present an approach for retartgeting off-the-shelf Virtual Reality (VR) trackers to effectively teleoperate an upper-body humanoid while ensuring self-collision-free motions. Key to the effectiveness was the proper assignment of trackers to joint
Externí odkaz:
http://arxiv.org/abs/2411.07534
Safety Verification for Evasive Collision Avoidance in Autonomous Vehicles with Enhanced Resolutions
Autor:
Arab, Aliasghar, Khaleghi, Milad, Partovi, Alireza, Abbaspour, Alireza, Shinde, Chaitanya, Mousavi, Yashar, Azimi, Vahid, Karimmoddini, Ali
This paper presents a comprehensive hazard analysis, risk assessment, and loss evaluation for an Evasive Minimum Risk Maneuvering (EMRM) system designed for autonomous vehicles. The EMRM system is engineered to enhance collision avoidance and mitigat
Externí odkaz:
http://arxiv.org/abs/2411.02706