Learning User Preferences in Robot Motion Planning Through Interaction. - Nils Wilde; Dana Kulic; Stephen L. Smith 001 (ICRA, 2018)

Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. - Nils Wilde; Dana Kulic; Stephen L. Smith 001 (IEEE Robotics Autom. Lett., 2019)

Learning User Preferences from Corrections on State Lattices. - Nils Wilde; Dana Kulic; Stephen L. Smith 001 (ICRA, 2020)

Active Preference Learning using Maximum Regret. - Nils Wilde; Dana Kulic; Stephen L. Smith 001 (IROS, 2020)

Improving user specifications for robot behavior through active preference learning: Framework and evaluation. - Nils Wilde; Alexandru Blidaru; Stephen L. Smith 001; Dana Kulic (Int. J. Robotics Res., 2020)

Learning Reward Functions from Scale Feedback. - Nils Wilde; Erdem Biyik; Dorsa Sadigh; Stephen L. Smith 001 (CoRL, 2021)

Learning Control Sets for Lattice Planners from User Preferences. - Alexander Botros; Nils Wilde; Stephen L. Smith 001 (WAFR, 2021)

Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. - Yifan Cai; Abhinav Dahiya; Nils Wilde; Stephen L. Smith 001 (CDC, 2022)

Informative Path Planning in Random Fields via Mixed Integer Programming. - Shamak Dutta; Nils Wilde; Stephen L. Smith 001 (CDC, 2022)

Online Multi-Robot Task Assignment with Stochastic Blockages. - Nils Wilde; Javier Alonso-Mora (CDC, 2022)

Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms. - Nils Wilde; Javier Alonso-Mora (CoRL, 2022)

An Improved Greedy Algorithm for Subset Selection in Linear Estimation. - Shamak Dutta; Nils Wilde; Stephen L. Smith 001 (ECC, 2022)

Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. - Alexander Botros; Armin Sadeghi; Nils Wilde; Javier Alonso-Mora; Stephen L. Smith 001 (WAFR, 2022)

Learning Submodular Objectives for Team Environmental Monitoring. - Nils Wilde; Armin Sadeghi; Stephen L. Smith 001 (IEEE Robotics Autom. Lett., 2022)

A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. - Shamak Dutta; Nils Wilde; Stephen L. Smith 001 (CDC, 2023)

Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. - Shamak Dutta; Nils Wilde; Pratap Tokekar; Stephen L. Smith 001 (ICRA, 2023)

Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing. - Nils Wilde; Javier Alonso-Mora (MRS, 2023)

Statistically Distinct Plans for Multi-Objective Task Assignment. - Nils Wilde; Javier Alonso-Mora (CoRR, 2023)

Optimizing Task Waiting Times in Dynamic Vehicle Routing. - Alexander Botros; Barry Gilhuly; Nils Wilde; Armin Sadeghi; Javier Alonso-Mora; Stephen L. Smith 001 (IEEE Robotics Autom. Lett., 2023)

Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization. - Nils Wilde; Stephen L. Smith 001; Javier Alonso-Mora (IEEE Robotics Autom. Lett., 2024)

Regret-Based Sampling of Pareto Fronts for Multiobjective Robot Planning Problems. - Alexander Botros; Nils Wilde; Armin Sadeghi; Javier Alonso-Mora; Stephen L. Smith 001 (IEEE Trans. Robotics, 2024)

Statistically Distinct Plans for Multiobjective Task Assignment. - Nils Wilde; Javier Alonso-Mora (IEEE Trans. Robotics, 2024)

Informative Path Planning for Active Regression With Gaussian Processes via Sparse Optimization. - Shamak Dutta; Nils Wilde; Stephen L. Smith 001 (IEEE Trans. Robotics, 2025)