activity
20222026
most citedAffordance-Driven Next-Best-View Planning for Robotic Grasping

6 citations · 8 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2026

FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning

Yu Zhang, Yuanmingqing Song, Xiangyun Rao +4

Underwater robot learning relies on simulators that integrate high-fidelity hydrodynamics, convenient learning interfaces, and a credible transition to real scenarios. In this work…

cs.RO2026

Underwater Visual Target Tracking with Target-Specific Depth Estimation and Adaptive Model-Fusion Predictive Control

Yuheng Zhou, Haiyang Cheng, Yanqi Feng +5

Vision-based underwater target tracking is challenged by unreliable depth measurements and unknown target motion. This paper proposes a stereo visual-servoing framework for an auto…

cs.RO2025

Aucamp: An Underwater Camera-Based Multi-Robot Platform with Low-Cost, Distributed, and Robust Localization

Jisheng Xu, Ding Lin, Pangkit Fong +3

This paper introduces an underwater multi-robot platform, named Aucamp, characterized by cost-effective monocular-camera-based sensing, distributed protocol and robust orientation…

eess.SY2024

Smart Predict-then-Optimize Method with Dependent Data: Risk Bounds and Calibration of Autoregression

Jixian Liu, Tao Xu, Jianping He +1

The predict-then-optimize (PTO) framework is indispensable for addressing practical stochastic decision-making tasks. It consists of two crucial steps: initially predicting unknown…

math.OC2023

Heuristic Learning for Co-Design Scheme of Optimal Sequential Attack

Xiaoyu Luo, Haoxuan Pan, Chongrong Fang +3

This paper considers a novel co-design problem of the optimal \textit{sequential} attack, whose attack strategy changes with the time series, and in which the \textit{sequential} a…

cs.RO2023★ 6 cited

Affordance-Driven Next-Best-View Planning for Robotic Grasping

Xuechao Zhang, Dong Wang, Sun Han +7

Grasping occluded objects in cluttered environments is an essential component in complex robotic manipulation tasks. In this paper, we introduce an AffordanCE-driven Next-Best-View…

math.OC2022

Model-free False Data Injection Attack in Networked Control Systems: A Feedback Optimization Approach

Xiaoyu Luo, Chongrong Fang, Jianping He +2

Security issues have gathered growing interest within the control systems community, as physical components and communication networks are increasingly vulnerable to cyber attacks.…

cs.CV2022

Toward Global Sensing Quality Maximization: A Configuration Optimization Scheme for Camera Networks

Xuechao Zhang, Xuda Ding, Yi Ren +3

The performance of a camera network monitoring a set of targets depends crucially on the configuration of the cameras. In this paper, we investigate the reconfiguration strategy fo…

cs.RO2022

Moving Target Interception Considering Dynamic Environment

Chendi Qu, Jianping He, Jialun Li +2

The interception of moving targets is a widely studied issue. In this paper, we propose an algorithm of intercepting the moving target with a wheeled mobile robot in a dynamic envi…

cs.CR2022

Differential Private Discrete Noise Adding Mechanism: Conditions, Properties and Optimization

Shuying Qin, Jianping He, Chongrong Fang +1

Differential privacy is a standard framework to quantify the privacy loss in the data anonymization process. To preserve differential privacy, a random noise adding mechanism is wi…

eess.SY2022★ 2 cited

Resilient Average Consensus: A Detection and Compensation Approach

Wenzhe Zheng, Zhiyu He, Jianping He +2

We study the problem of resilient average consensus for multi-agent systems with misbehaving nodes. To protect consensus valuefrom being influenced by misbehaving nodes, we address…

math.DS2022

Submodularity-based False Data Injection Attack Scheme in Multi-agent Dynamical Systems

Xiaoyu Luo, Chengcheng Zhao, Chongrong Fang +1

Consensus in multi-agent dynamical systems is prone to be sabotaged by the adversary, which has attracted much attention due to its key role in broad applications. In this paper, w…