Zobrazeno 1 - 10
of 608
pro vyhledávání: '"Zhou Siqi"'
Autor:
Brunke, Lukas, Zhang, Yanni, Römer, Ralf, Naimer, Jack, Staykov, Nikola, Zhou, Siqi, Schoellig, Angela P.
Ensuring safe interactions in human-centric environments requires robots to understand and adhere to constraints recognized by humans as "common sense" (e.g., "moving a cup of water above a laptop is unsafe as the water may spill" or "rotating a cup
Externí odkaz:
http://arxiv.org/abs/2410.15185
Control barrier function (CBF)-based safety filters are used to certify and modify potentially unsafe control inputs to a system such as those provided by a reinforcement learning agent or a non-expert user. In this context, safety is defined as the
Externí odkaz:
http://arxiv.org/abs/2409.11171
Recent studies have shown that quantum information may be effectively transmitted by a finite collection of completely depolarizing channels in a coherent superposition of different orders, via an operation known as the quantum $\tt SWITCH$. Such res
Externí odkaz:
http://arxiv.org/abs/2407.02726
Publikováno v:
E3S Web of Conferences, Vol 396, p 05007 (2023)
The utilization of outdoor spaces is affected by their thermal environment. Wind, which determines the convective and evaporative heat loss from the human body, is one of the most influencing factors of thermal comfort. In the prevailing outdoor ther
Externí odkaz:
https://doaj.org/article/a45e6d1cd88444caa1fa470805d8e842
Autonomous robots navigating in changing environments demand adaptive navigation strategies for safe long-term operation. While many modern control paradigms offer theoretical guarantees, they often assume known extrinsic safety constraints, overlook
Externí odkaz:
http://arxiv.org/abs/2404.14546
Safety filters based on control barrier functions (CBFs) have become a popular method to guarantee safety for uncertified control policies, e.g., as resulting from reinforcement learning. Here, safety is defined as staying in a pre-defined set, the s
Externí odkaz:
http://arxiv.org/abs/2404.12329
Learning models or control policies from data has become a powerful tool to improve the performance of uncertain systems. While a strong focus has been placed on increasing the amount and quality of data to improve performance, data can never fully e
Externí odkaz:
http://arxiv.org/abs/2403.09504
In this paper, we consider a Micro Aerial Vehicle (MAV) system teleoperated by a non-expert and introduce a perceptive safety filter that leverages Control Barrier Functions (CBFs) in conjunction with Visual-Inertial Simultaneous Localization and Map
Externí odkaz:
http://arxiv.org/abs/2403.04331
Accurate and timely prediction of crop growth is of great significance to ensure crop yields and researchers have developed several crop models for the prediction of crop growth. However, there are large difference between the simulation results obta
Externí odkaz:
http://arxiv.org/abs/2403.03406
Autor:
Zhou Siqi, Niu Jianlei
Publikováno v:
E3S Web of Conferences, Vol 356, p 03001 (2022)
So far, the research on the convective heat transfer coefficient (hc) in outdoor thermal comfort has mainly employed CFD simulation and wind tunnel experiments, which are difficult to fully restore the complex microclimate wind environment. In the tr
Externí odkaz:
https://doaj.org/article/15967e3bc473469397a2bef41e84dad2