activity
20182023
most citedFinding plans subject to stipulations on what information they divulge

4 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.RO2023

A fixed-parameter tractable algorithm for combinatorial filter reduction

Yulin Zhang, Dylan A. Shell

What is the minimal information that a robot must retain to achieve its task? To design economical robots, the literature dealing with reduction of combinatorial filters approaches…

cs.AI2021★ 3 cited

Learning a Robust Multiagent Driving Policy for Traffic Congestion Reduction

Yulin Zhang, William Macke, Jiaxun Cui +2

In most modern cities, traffic congestion is one of the most salient societal challenges. Past research has shown that inserting a limited number of autonomous vehicles (AVs) withi…

cs.RO2020

Accelerating combinatorial filter reduction through constraints

Yulin Zhang, Hazhar Rahmani, Dylan A. Shell +1

Reduction of combinatorial filters involves compressing state representations that robots use. Such optimization arises in automating the construction of minimalist robots. But exa…

cs.RO2020

Abstractions for computing all robotic sensors that suffice to solve a planning problem

Yulin Zhang, Dylan A. Shell

Whether a robot can perform some specific task depends on several aspects, including the robot's sensors and the plans it possesses. We are interested in search algorithms that tre…

cs.DM2020

Cover Combinatorial Filters and their Minimization Problem (Extended Version)

Yulin Zhang, Dylan A. Shell

Recent research has examined algorithms to minimize robots' resource footprints. The class of combinatorial filters (discrete variants of widely-used probabilistic estimators) has…

cs.RO2018★ 3 cited

What does my knowing your plans tell me?

Yulin Zhang, Dylan A. Shell, Jason M. O'Kane

For robots acting in the presence of observers, we examine the information that is divulged if the observer is party to the robot's plan. Privacy constraints are specified as the s…

cs.RO2018★ 4 cited

Finding plans subject to stipulations on what information they divulge

Yulin Zhang, Dylan A. Shell, Jason M. O'Kane

Motivated by applications where privacy is important, we consider planning problems for robots acting in the presence of an observer. We first formulate and then solve planning pro…

cs.RO2018

Complete characterization of a class of privacy-preserving tracking problems

Yulin Zhang, Dylan A. Shell

We examine the problem of target tracking whilst simultaneously preserving the target's privacy as epitomized by the robotic panda tracking scenario, which O'Kane introduced at the…