5 papers indexed
Chengyu Shen, Yujie Fu, Gangtao Xin, Yanheng Hou, Wenlong Fei, Guojie Zhu, et al.
Large language models are increasingly evolving from text generators into general agents capable of understanding user requests, invoking external tools, and completing complex tasks through interaction. However, existing agent benchmarks often focus on limited scenarios, tool ec…
Xinhong Dai, Yuan Gao, Hao Jiang, Xiaojun Yuan, Xin Wang
In this paper, we study an unmanned aerial vehicle (UAV) sensing and tracking problem, where a base station equipped with an antenna array continuously illuminates a flying UAV and exploits the reflected echoes for slot-wise point cloud imaging within its potential flight region.…
Keke Tang, Tianyu Hao, Weilong Peng, Hao Jiang, Feng Wu, Peican Zhu, et al.
Adversarial attacks on motion planning are crucial for evaluating and quantifying the intrinsic robustness of robotic manipulation. However, existing approaches are typically limited by restrictive exact-pose objectives and their reliance on planner-in-the-loop queries. To addres…
Yuanwei Liu, Xu Gan, Zhaolin Wang, Chongjun Ouyang, Hao Jiang, Zongyao Zhao, et al.
This article proposes the concept of \emph{brain-body-to-everything (B2X)} networks to facilitate the integration of wireless networks and embodied intelligence. In this framework, the \emph{brain} refers to the intelligence functions for reasoning, planning, and decision-making,…
Hao Jiang, Chongjun Ouyang, Yuanwei Liu, Arumugam Nallanathan, Robert Schober
The sensing capability of the pinching-antenna system (PASS) is analyzed from a Ziv-Zakai bound (ZZB) perspective, motivated by the sensing ambiguity arising from the multimodal observation model inherent to PASS. In comparison to other Bayesian sensing bounds, the ZZB provides a…