Zobrazeno 1 - 10
of 564
pro vyhledávání: '"Zhou, Siqi"'
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
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:
Dawood, Murad, Pan, Sicong, Dengler, Nils, Zhou, Siqi, Schoellig, Angela P., Bennewitz, Maren
In recent years, formation control of unmanned vehicles has received considerable interest, driven by the progress in autonomous systems and the imperative for multiple vehicles to carry out diverse missions. In this paper, we address the problem of
Externí odkaz:
http://arxiv.org/abs/2312.12861
Providing safety guarantees for learning-based controllers is important for real-world applications. One approach to realizing safety for arbitrary control policies is safety filtering. If necessary, the filter modifies control inputs to ensure that
Externí odkaz:
http://arxiv.org/abs/2312.09565
Autor:
Jiao, Aoran, Patel, Tanmay P., Khurana, Sanjmi, Korol, Anna-Mariya, Brunke, Lukas, Adajania, Vivek K., Culha, Utku, Zhou, Siqi, Schoellig, Angela P.
This paper presents Swarm-GPT, a system that integrates large language models (LLMs) with safe swarm motion planning - offering an automated and novel approach to deployable drone swarm choreography. Swarm-GPT enables users to automatically generate
Externí odkaz:
http://arxiv.org/abs/2312.01059
Quadrotor motion planning in complex environments leverage the concept of safe flight corridor (SFC) to facilitate static obstacle avoidance. Typically, SFCs are constructed through convex decomposition of the environment's free space into cuboids, c
Externí odkaz:
http://arxiv.org/abs/2310.09195