activity
20192026
most citedImproving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation

28 citations · 70 across the 16 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.RO2022

Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy

Shamak Dutta, Nils Wilde, Pratap Tokekar +1

We study the sample placement and shortest tour problem for robots tasked with mapping environmental phenomena modeled as stationary random fields. The objective is to minimize the…

cs.RO2022

Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams

Yifan Cai, Abhinav Dahiya, Nils Wilde +1

In this paper, we consider the problem of allocating human operator assistance in a system with multiple autonomous robots. Each robot is required to complete independent missions,…

cs.RO2022

Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems

Alexander Botros, Armin Sadeghi, Nils Wilde +2

Many problems in robotics seek to simultaneously optimize several competing objectives under constraints. A conventional approach to solving such multi-objective optimization probl…

eess.SY2022

Informative Path Planning in Random Fields via Mixed Integer Programming

Shamak Dutta, Nils Wilde, Stephen L. Smith

We present a new mixed integer formulation for the discrete informative path planning problem in random fields. The objective is to compute a budget constrained path while collecti…

math.OC2022

An Improved Greedy Algorithm for Subset Selection in Linear Estimation

Shamak Dutta, Nils Wilde, Stephen L. Smith

In this paper, we consider a subset selection problem in a spatial field where we seek to find a set of k locations whose observations provide the best estimate of the field value…