50 citations · 74 across the 10 of their papers we have counts for
10 papers
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…
DiSProD: Differentiable Symbolic Propagation of Distributions for Planning
Palash Chatterjee, Ashutosh Chapagain, Weizhe Chen +1
The paper introduces DiSProD, an online planner developed for environments with probabilistic transitions in continuous state and action spaces. DiSProD builds a symbolic graph tha…
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…
Model-Agnostic Multi-Agent Perception Framework
Runsheng Xu, Weizhe Chen, Hao Xiang +2
Existing multi-agent perception systems assume that every agent utilizes the same model with identical parameters and architecture. The performance can be degraded with different p…
Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning
Weizhe Chen, Lantao Liu
In many environmental monitoring scenarios, the sampling robot needs to simultaneously explore the environment and exploit features of interest with limited time. We present an any…
Informative Planning in the Presence of Outliers
Weizhe Chen, Lantao Liu
Informative planning seeks a sequence of actions that guide the robot to collect the most informative data to build a large-scale environmental model or learn a dynamical system. E…