Zobrazeno 1 - 10
of 7 279
pro vyhledávání: '"Liang,Bin"'
This paper explores the ability of Graph Neural Networks (GNNs) in learning various forms of information for link prediction, alongside a brief review of existing link prediction methods. Our analysis reveals that GNNs cannot effectively learn struct
Externí odkaz:
http://arxiv.org/abs/2411.14711
For tasks conducted in unknown environments with efficiency requirements, real-time navigation of multi-robot systems remains challenging due to unfamiliarity with surroundings.In this paper, we propose a novel multi-robot collaborative planning meth
Externí odkaz:
http://arxiv.org/abs/2411.01274
Stationary balance control is challenging for single-track two-wheeled (STTW) robots due to the lack of elegant balancing mechanisms and the conflict between the limited attraction domain and external disturbances. To address the absence of balancing
Externí odkaz:
http://arxiv.org/abs/2410.19615
Autor:
Xue, Boyang, Wang, Hongru, Wang, Rui, Wang, Sheng, Wang, Zezhong, Du, Yiming, Liang, Bin, Wong, Kam-Fai
The tendency of Large Language Models (LLMs) to generate hallucinations raises concerns regarding their reliability. Therefore, confidence estimations indicating the extent of trustworthiness of the generations become essential. However, current LLM
Externí odkaz:
http://arxiv.org/abs/2410.12478
Fast and efficient collision detection is essential for motion generation in robotics. In this paper, we propose an efficient collision detection framework based on the Signed Distance Field (SDF) of robots, seamlessly integrated with a self-collisio
Externí odkaz:
http://arxiv.org/abs/2409.14955
In the control task of mobile manipulators(MM), achieving efficient and agile obstacle avoidance in dynamic environments is challenging. In this letter, we present a safe expeditious whole-body(SEWB) control for MMs that ensures both external and int
Externí odkaz:
http://arxiv.org/abs/2409.14775
This paper presents a framework to achieve compliant catching with cushioning mechanism(CCCM) for mobile manipulators. First, we introduce a two-level motion optimization scheme, comprising a high-level capture planner and a low-level joint planner.
Externí odkaz:
http://arxiv.org/abs/2409.14754
Publikováno v:
Computers & Security, 104113 (2024)
Incorporating LLM into cybersecurity operations, a typical real-world high-stakes task, is critical but non-trivial in practice. Using cybersecurity as the study context, we conduct a three-step mix-method study to incorporate LLM into the vulnerabil
Externí odkaz:
http://arxiv.org/abs/2409.14058
Autor:
Wang, Yuxing, Li, Jie, Yu, Cong, Li, Xinyang, Huang, Simeng, Chang, Yongzhe, Wang, Xueqian, Liang, Bin
The emergence of modular satellites marks a significant transformation in spacecraft engineering, introducing a new paradigm of flexibility, resilience, and scalability in space exploration endeavors. In addressing complex challenges such as attitude
Externí odkaz:
http://arxiv.org/abs/2409.13166
This letter presents a model to address the collaborative effects in multi-agent systems from the perspective of microscopic mechanism. The model utilizes distributed control for robot swarms in traversal applications. Inspired by pedestrian planning
Externí odkaz:
http://arxiv.org/abs/2409.10049