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Journal of statistical planning and inference, ISSN 0378-3758, 1977
Journal
The International Journal of Robotics Research, ISSN 0278-3649, 6/2011, Volume 30, Issue 7, pp. 846 - 894
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 6/2012, Volume 31, Issue 7, pp. 855 - 871
This paper is concerned with motion planning for non-linear robotic systems operating in constrained environments. A method for computing high-quality... 
motion planning | nonlinear control | importance sampling | RRT | cross-entropy | stochastic optimization | ROBOTICS | CONVERGENCE | Technology application | Sampling (Acoustical engineering) | Motion | Usage | Analysis | Mathematical optimization | Methods | Robots | Data entry | Motion planning | Algorithms | Adaptive sampling | Computation | Trajectories | Sampling | Robotics | Optimization
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 4/2016, Volume 35, Issue 5, pp. 528 - 564
Journal Article
IEEE Transactions on Robotics, ISSN 1552-3098, 08/2018, Volume 34, Issue 4, pp. 966 - 984
Anytime almost-surely asymptotically optimal planners, such as RRT*, incrementally find paths to every state in the search domain. This is inefficient once an... 
Informed sampling | Focusing | sampling-based planning | Probabilistic logic | Search problems | Path planning | optimal path planning | Planning | Robots | Convergence | path planning | ROBOTICS | MOTION | SPACES | RRT-ASTERISK | Euclidean geometry | Trajectory planning | Sampling | Dependence | Computer Science - Robotics
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 11/2014, Volume 33, Issue 13, pp. 1683 - 1708
This paper presents a generalization of the classic A* algorithm to the domain of sampling-based motion planning. The root assumptions of the A* algorithm are... 
robot manipulator | simulated annealing | high-dimensional planning | optimization | Sampling-based algorithm | path-planning | motion-planning | RRTA | probabilistic completeness | ROBOTICS | SEARCH | CONFIGURATION-SPACES | MOTION | TREES | MODELS | RRT | PROBABILISTIC ROADMAPS | Path analysis | Usage | Algorithms | Mathematical optimization | Analysis | Robots | Schedules | Searching | Simulated annealing | Strategy | Entropy | Exploitation
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 10/2011, Volume 30, Issue 12, pp. 1435 - 1460
Journal Article
IEEE Transactions on Robotics, ISSN 1552-3098, 06/2010, Volume 26, Issue 3, pp. 469 - 482
Journal Article
Journal of Field Robotics, ISSN 1556-4959, 08/2018, Volume 35, Issue 5, pp. 643 - 661
Journal Article
The International Journal of Robotics Research, ISSN 0278-3649, 3/2019, Volume 38, Issue 2-3, pp. 162 - 181
The partially observable Markov decision process (POMDP) provides a principled general framework for robot planning under uncertainty. Leveraging the idea of... 
Planning under uncertainty | POMDP | importance sampling | VALUE-ITERATION | ROBOTICS | STRATEGIES | Uncertainty | Algorithms | Markov processes | Performance enhancement | Markov analysis | Importance sampling | Sampling techniques
Journal Article