Nils Wilde

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Kalman Filtering

Planning Problems

Approximation Algorithms

Top Venues

IEEE Robotics Autom. Lett.

Publications

Nils Wilde, Stephen L. Smith, Javier Alonso-Mora
Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization. IEEE Robotics Autom. Lett. 9 (3) (2024)
Nils Wilde, Javier Alonso-Mora
Statistically Distinct Plans for Multiobjective Task Assignment. IEEE Trans. Robotics 40 (2024)
Alexander Botros, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Regret-Based Sampling of Pareto Fronts for Multiobjective Robot Planning Problems. IEEE Trans. Robotics 40 (2024)
Nils Wilde, Javier Alonso-Mora
Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing. CoRR (2023)
Nils Wilde, Javier Alonso-Mora
Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing. MRS (2023)
Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Optimizing Task Waiting Times in Dynamic Vehicle Routing. CoRR (2023)
Shamak Dutta, Nils Wilde, Stephen L. Smith
A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. CDC (2023)
Shamak Dutta, Nils Wilde, Stephen L. Smith
A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. CoRR (2023)
Nils Wilde, Javier Alonso-Mora
Statistically Distinct Plans for Multi-Objective Task Assignment. CoRR (2023)
Nils Wilde, Stephen L. Smith, Javier Alonso-Mora
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization. CoRR (2023)
Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. ICRA (2023)
Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith
Optimizing Task Waiting Times in Dynamic Vehicle Routing. IEEE Robotics Autom. Lett. 8 (9) (2023)
Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. CoRR (2022)
Nils Wilde, Javier Alonso-Mora
Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms. CoRL (2022)
Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. CoRR (2022)
Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. WAFR (2022)
Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith
Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. CDC (2022)
Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith
Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. CoRR (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
Informative Path Planning in Random Fields via Mixed Integer Programming. CDC (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
An Improved Greedy Algorithm for Subset Selection in Linear Estimation. CoRR (2022)
Nils Wilde, Javier Alonso-Mora
Online Multi-Robot Task Assignment with Stochastic Blockages. CDC (2022)
Nils Wilde, Armin Sadeghi, Stephen L. Smith
Learning Submodular Objectives for Team Environmental Monitoring. IEEE Robotics Autom. Lett. 7 (2) (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
An Improved Greedy Algorithm for Subset Selection in Linear Estimation. ECC (2022)
Shamak Dutta, Nils Wilde, Stephen L. Smith
Informative Path Planning in Random Fields via Mixed Integer Programming. CoRR (2022)
Alexander Botros, Nils Wilde, Stephen L. Smith
Learning Control Sets for Lattice Planners from User Preferences. WAFR (2021)
Nils Wilde, Armin Sadeghi, Stephen L. Smith
Learning Submodular Objectives for Team Environmental Monitoring. CoRR (2021)
Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
Learning Reward Functions from Scale Feedback. CoRR (2021)
Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith
Learning Reward Functions from Scale Feedback. CoRL (2021)
Nils Wilde, Dana Kulic, Stephen L. Smith
Active Preference Learning using Maximum Regret. IROS (2020)
Nils Wilde, Dana Kulic, Stephen L. Smith
Learning User Preferences from Corrections on State Lattices. ICRA (2020)
Nils Wilde, Dana Kulic, Stephen L. Smith
Active Preference Learning using Maximum Regret. CoRR (2020)
Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic
Improving user specifications for robot behavior through active preference learning: Framework and evaluation. Int. J. Robotics Res. 39 (6) (2020)
Nils Wilde, Dana Kulic, Stephen L. Smith
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. CoRR (2019)
Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation. CoRR (2019)
Nils Wilde, Dana Kulic, Stephen L. Smith
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. IEEE Robotics Autom. Lett. 4 (2) (2019)
Nils Wilde, Dana Kulic, Stephen L. Smith
Learning User Preferences in Robot Motion Planning Through Interaction. ICRA (2018)