Will Vega-Brown
TitleCited byYear
Bayesian learning for safe high-speed navigation in unknown environments
C Richter, W Vega-Brown, N Roy
Robotics Research, 325-341, 2018
392018
Asymptotically optimal planning under piecewise-analytic constraints
W Vega-Brown, N Roy
Workshop on the Algorithmic Foundations of Robotics, 2016
312016
CELLO: A fast algorithm for covariance estimation
W Vega-Brown, A Bachrach, A Bry, J Kelly, N Roy
2013 IEEE International Conference on Robotics and Automation, 3160-3167, 2013
192013
PROBE-GK: Predictive robust estimation using generalized kernels
V Peretroukhin, W Vega-Brown, N Roy, J Kelly
2016 IEEE International Conference on Robotics and Automation (ICRA), 817-824, 2016
142016
Nonparametric Bayesian inference on multivariate exponential families
WR Vega-Brown, M Doniec, NG Roy
Advances in Neural Information Processing Systems, 2546-2554, 2014
122014
CELLO-EM: Adaptive sensor models without ground truth
W Vega-Brown, N Roy
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
122013
Sensor-based reactive symbolic planning in partially known environments
V Vasilopoulos, W Vega-Brown, O Arslan, N Roy, DE Koditschek
2018 IEEE International Conference on Robotics and Automation (ICRA), 1-5, 2018
92018
Efficient planning for near-optimal compliant manipulation leveraging environmental contact
C Guan, W Vega-Brown, N Roy
2018 IEEE International Conference on Robotics and Automation (ICRA), 215-222, 2018
82018
On the computation of stability margins for adaptive controllers using linear system tools
E Lavretsky, A Annaswamy, Z Dydek, W Vega-Brown
AIAA Guidance, Navigation, and Control Conference, 5964, 2009
82009
Sensor-based reactive execution of symbolic rearrangement plans by a legged mobile manipulator
V Vasilopoulos, TT Topping, W Vega-Brown, N Roy, DE Koditschek
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
62018
Learning Low Dimensional Feature Representations for Covariance Prediction From Data
K Liu, K Ok, W Vega-Brown, N Roy
6*
Admissible abstractions for near-optimal task and motion planning
W Vega-Brown, N Roy
arXiv preprint arXiv:1806.00805, 2018
52018
Predictive parameter estimation for Bayesian filtering
W Vega-Brown
Massachusetts Institute of Technology, 2013
42013
Technical Report: Sensor-Based Reactive Symbolic Planning in Partially Known Environments
V Vasilopoulos, W Vega-Brown, O Arslan, N Roy, DE Koditschek
arXiv preprint arXiv:1709.05474, 2017
22017
Markov chain hallway and Poisson forest environment generating distributions
C Richter, W Vega-Brown, N Roy
22015
The design and implementation of a laser range-finder array for robotics applications
W Vega-Brown
Massachusetts Institute of Technology, 2011
2011
Autonomous Mapping of Factory Floors Using a Quadrotor MAV
W Vega-Brown, J Kelly, A Bachrach, A Bry, S Prentice, N Roy
Anchoring abstractions for near-optimal task and motion planning
W Vega-Brown, N Roy
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Articles 1–18