11 accepted papers
近年来，视觉-语言-行动（VLA）模型通过无缝整合视觉感知、语言理解和动作生成，在端到端的学习框架中彻底革新了机器人作。然而，由于这些模型设计为直接与物理世界和人类交互，其安全性至关重要，即使是小漏洞也可能导致灾难性故障。在本研究中，我们提出了通用对抗对象，这是一种表面纹理优化的球体，当置于机器人视野内时，任务成功率会显著降低。具体来说，我们的方法引入了一个多层次攻击框架，能够共同干扰轨迹规划、任务执行和动作控制。我们在模拟和现实机器人环境中验证了我们的方法。实验结果表明，对抗对象在两种代表性VLA模型（Pi0和RDT&#
Previous physical adversarial attacks have shown that carefully crafted perturbations can deceive face recognition systems, revealing critical security vulnerabilities. However, these attacks often struggle to impersonate multiple targets and frequently fail to bypass liveness detection. For example…
Recent advancements in large language models (LLMs) have driven a revolutionary paradigm shift in process automation from Robotic Process Automation to Agentic Process Automation by automating the workflow orchestration procedure based on LLMs. However, existing LLMs (even the advanced OpenAI GPT-4o…
WiFi human sensing is highly regarded for its low-cost and privacy advantages in recognizing human activities. However, its effectiveness is largely confined to controlled, single-user, line-of-sight settings, limited by data collection complexities and the scarcity of labeled datasets. Traditional…
Existing few-shot semantic segmentation methods typically rely on a one-way flow of category information from support to query, ignoring the impact of intra-class diversity. To address this, drawing inspiration from cybernetics, we introduce a Query Feedback Branch (QFB) to propagate query informati…
Physical adversarial attacks can deceive deep neural networks (DNNs), leading to erroneous predictions in real-world scenarios. To uncover potential security risks, attacking the safety-critical task of person detection has garnered significant attention. However, we observe that existing attack met…
Few-Shot Video Object Segmentation (FSVOS) aims to segment objects in a query video with the same category defined by a few annotated support images. However, this task was seldom explored. In this work, based on IPMT, a state-of-the-art few-shot image segmentation method that combines external supp…
The coexistence of semantic communication (SemCom) and bit-based communication (BitCom) towards next-generation wireless networks is investigated. First, a semantic and bit uplink communication framework is proposed, where a near user (N-user) and a far user (F-user) upload information to the access…
Few-shot semantic segmentation aims to segment the target objects in query under the condition of a few annotated support images. Most previous works strive to mine more effective category information from the support to match with the corresponding objects in query. However, they all ignored the ca…
Existing studies in few-shot semantic segmentation only focus on mining the target object information, however, often are hard to tell ambiguous regions, especially in non-target regions, which include background (BG) and Distracting Objects (DOs). To alleviate this problem, we propose a novel frame…
The quality of holes has important influence on the mechanical strength, assembly quality and life of aircraft, and inferior quality holes may even cause airplane crash and casualties. The perpendicular accuracy of holes during drilling is crucial one of all the factors influencing the quality of ho…