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ORCIDNils Wilde
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2020 – today
- 2024
[j7]Nils Wilde
, Stephen L. Smith, Javier Alonso-Mora:
Scalarizing Multi-Objective Robot Planning Problems Using Weighted Maximization. IEEE Robotics Autom. Lett. 9(3): 2503-2510 (2024)- [j6]Nils Wilde, Javier Alonso-Mora:
Statistically Distinct Plans for Multiobjective Task Assignment. IEEE Trans. Robotics 40: 2217-2232 (2024) - [j5]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: 3778-3794 (2024) - 2023
- [j4]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): 5520-5527 (2023) - [c14]Shamak Dutta, Nils Wilde, Stephen L. Smith:
A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. CDC 2023: 1170-1176 - [c13]Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith:
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. ICRA 2023: 7830-7836 - [c12]Nils Wilde, Javier Alonso-Mora:
Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing. MRS 2023: 156-162 - [i15]Shamak Dutta, Nils Wilde, Stephen L. Smith:
A Unified Approach to Optimally Solving Sensor Scheduling and Sensor Selection Problems in Kalman Filtering. CoRR abs/2304.02692 (2023) - [i14]Alexander Botros, Barry Gilhuly, Nils Wilde, Armin Sadeghi, Javier Alonso-Mora, Stephen L. Smith:
Optimizing Task Waiting Times in Dynamic Vehicle Routing. CoRR abs/2307.03984 (2023) - [i13]Nils Wilde, Stephen L. Smith, Javier Alonso-Mora:
Scalarizing Multi-Objective Robot Planning Problems using Weighted Maximization. CoRR abs/2312.07227 (2023) - [i12]Nils Wilde, Javier Alonso-Mora:
Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing. CoRR abs/2312.07234 (2023) - [i11]Nils Wilde, Javier Alonso-Mora:
Statistically Distinct Plans for Multi-Objective Task Assignment. CoRR abs/2312.07292 (2023) - 2022
- [j3]Nils Wilde, Armin Sadeghi, Stephen L. Smith:
Learning Submodular Objectives for Team Environmental Monitoring. IEEE Robotics Autom. Lett. 7(2): 960-967 (2022) - [c11]Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith:
Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. CDC 2022: 3997-4003 - [c10]Nils Wilde, Javier Alonso-Mora:
Online Multi-Robot Task Assignment with Stochastic Blockages. CDC 2022: 5259-5266 - [c9]Shamak Dutta, Nils Wilde, Stephen L. Smith:
Informative Path Planning in Random Fields via Mixed Integer Programming. CDC 2022: 7222-7228 - [c8]Nils Wilde, Javier Alonso-Mora:
Do we use the Right Measure? Challenges in Evaluating Reward Learning Algorithms. CoRL 2022: 1553-1562 - [c7]Shamak Dutta, Nils Wilde, Stephen L. Smith:
An Improved Greedy Algorithm for Subset Selection in Linear Estimation. ECC 2022: 1067-1072 - [c6]Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith:
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. WAFR 2022: 506-522 - [i10]Shamak Dutta, Nils Wilde, Stephen L. Smith:
An Improved Greedy Algorithm for Subset Selection in Linear Estimation. CoRR abs/2203.16070 (2022) - [i9]Shamak Dutta, Nils Wilde, Stephen L. Smith:
Informative Path Planning in Random Fields via Mixed Integer Programming. CoRR abs/2204.09571 (2022) - [i8]Alexander Botros, Armin Sadeghi, Nils Wilde, Javier Alonso-Mora, Stephen L. Smith:
Error-Bounded Approximation of Pareto Fronts in Robot Planning Problems. CoRR abs/2206.00663 (2022) - [i7]Yifan Cai, Abhinav Dahiya, Nils Wilde, Stephen L. Smith:
Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams. CoRR abs/2209.03458 (2022) - [i6]Shamak Dutta, Nils Wilde, Pratap Tokekar, Stephen L. Smith:
Approximation Algorithms for Robot Tours in Random Fields with Guaranteed Estimation Accuracy. CoRR abs/2210.08107 (2022) - 2021
- [c5]Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. CoRL 2021: 353-362 - [c4]Alexander Botros, Nils Wilde, Stephen L. Smith:
Learning Control Sets for Lattice Planners from User Preferences. WAFR 2021: 381-397 - [i5]Nils Wilde, Erdem Biyik, Dorsa Sadigh, Stephen L. Smith:
Learning Reward Functions from Scale Feedback. CoRR abs/2110.00284 (2021) - [i4]Nils Wilde, Armin Sadeghi, Stephen L. Smith:
Learning Submodular Objectives for Team Environmental Monitoring. CoRR abs/2112.08000 (2021) - 2020
- [j2]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) - [c3]Nils Wilde, Dana Kulic, Stephen L. Smith:
Learning User Preferences from Corrections on State Lattices. ICRA 2020: 4913-4919 - [c2]Nils Wilde, Dana Kulic, Stephen L. Smith:
Active Preference Learning using Maximum Regret. IROS 2020: 10952-10959 - [i3]Nils Wilde, Dana Kulic, Stephen L. Smith:
Active Preference Learning using Maximum Regret. CoRR abs/2005.04067 (2020)
2010 – 2019
- 2019
- [j1]Nils Wilde, Dana Kulic, Stephen L. Smith:
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. IEEE Robotics Autom. Lett. 4(2): 1691-1698 (2019) - [i2]Nils Wilde, Dana Kulic, Stephen L. Smith:
Bayesian Active Learning for Collaborative Task Specification Using Equivalence Regions. CoRR abs/1901.09470 (2019) - [i1]Nils Wilde, Alexandru Blidaru, Stephen L. Smith, Dana Kulic:
Improving User Specifications for Robot Behavior through Active Preference Learning: Framework and Evaluation. CoRR abs/1907.10412 (2019) - 2018
- [c1]Nils Wilde, Dana Kulic, Stephen L. Smith:
Learning User Preferences in Robot Motion Planning Through Interaction. ICRA 2018: 619-626
Coauthor Index
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last updated on 2024-10-07 22:23 CEST by the dblp team
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