50 citations · 51 across the 2 of their papers we have counts for
7 papers · 1 filter
Navigating the Wild: Pareto-Optimal Visual Decision-Making in Image Space
Durgakant Pushp, Weizhe Chen, Zheng Chen +3
Navigating complex real-world environments requires semantic understanding and adaptive decision-making. Traditional reactive methods without maps often fail in cluttered settings,…
POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering
Weizhe Chen, Lantao Liu, Roni Khardon
Gaussian Process (GP) models are widely used for Robotic Information Gathering (RIG) in exploring unknown environments due to their ability to model complex phenomena with non-para…
Multi-Objective and Model-Predictive Tree Search for Spatiotemporal Informative Planning
Weizhe Chen, Lantao Liu
Adaptive sampling and planning in robotic environmental monitoring are challenging when the target environmental process varies over space and time. The underlying environmental dy…
Long-Term Autonomous Ocean Monitoring with Streaming Samples
Weizhe Chen, Lantao Liu
In the autonomous ocean monitoring task, the sampling robot moves in the environment and accumulates data continuously. The widely adopted spatial modeling method - standard Gaussi…
Adaptive Robotic Information Gathering via Non-Stationary Gaussian Processes
Weizhe Chen, Roni Khardon, Lantao Liu
Robotic Information Gathering (RIG) is a foundational research topic that answers how a robot (team) collects informative data to efficiently build an accurate model of an unknown…
AK: Attentive Kernel for Information Gathering
Weizhe Chen, Roni Khardon, Lantao Liu
Robotic Information Gathering (RIG) relies on the uncertainty of a probabilistic model to identify critical areas for efficient data collection. Gaussian processes (GPs) with stati…