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