Search Results - "Kurniawati, Hanna"

Non-linearity Measure for POMDP-based Motion Planning by Hoerger, Marcus, Kurniawati, Hanna, Elfes, Alberto

“…Motion planning under uncertainty is essential for reliable robot operation. Despite substantial advances over the past decade, the problem remains difficult…”
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Adaptive Discretization using Voronoi Trees for Continuous POMDPs by Hoerger, Marcus, Kurniawati, Hanna, Kroese, Dirk, Ye, Nan

“…Solving continuous Partially Observable Markov Decision Processes (POMDPs) is challenging, particularly for high-dimensional continuous action spaces. To…”
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Multilevel Monte Carlo for solving POMDPs on-line by Hoerger, Marcus, Kurniawati, Hanna, Elfes, Alberto

“…Planning under partial observability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov…”
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On the Probabilistic Foundations of Probabilistic Roadmap Planning by Hsu, David, Latombe, Jean-Claude, Kurniawati, Hanna

“…Why is probabilistic roadmap (PRM) planning probabilistic? How does the probability measure used for sampling a robot’s configuration space affect the…”
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ISER 2016 Editorial by Kulic, Dana, Venture, Gentiane, Kurniawati, Hanna

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Partially Observable Markov Decision Processes and Robotics by Kurniawati, Hanna

“…Planning under uncertainty is critical to robotics. The partially observable Markov decision process (POMDP) is a mathematical framework for such planning…”
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Locally connected interrelated network: A forward propagation primitive by Collins, Nicholas, Kurniawati, Hanna

“…End-to-end learning for planning is a promising approach for finding good robot strategies in situations where the state transition, observation, and reward…”
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Recurrent Macro Actions Generator for POMDP Planning by Liang, Yuanchu, Kurniawati, Hanna

“…Many planning problems in robotics require long planning horizon and uncertain in nature. The Par-tially Observable Markov Descision Process (POMDP) is a…”
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Model‐based offline reinforcement learning for sustainable fishery management by Ju, Jun, Kurniawati, Hanna, Kroese, Dirk, Ye, Nan

“…Fisheries, as indispensable natural resources for human, need to be managed with both short‐term economical benefits and long‐term sustainability in…”
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Online Planning for Interactive-POMDPs using Nested Monte Carlo Tree Search by Schwartz, Jonathon, Zhou, Ruijia, Kurniawati, Hanna

“…The ability to make good decisions in partially observed non-cooperative multi-agent scenarios is important for robots to interact effectively in human…”
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Global motion planning under uncertain motion, sensing, and environment map by Kurniawati, Hanna, Bandyopadhyay, Tirthankar, Patrikalakis, Nicholas M.

“…Uncertainty in motion planning is often caused by three main sources: motion error, sensing error, and imperfect environment map. Despite the significant…”
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Motion planning under uncertainty for robotic tasks with long time horizons by Kurniawati, Hanna, Yanzhu Du, Hsu, David, Wee Sun Lee

“…Motion planning with imperfect state information is a crucial capability for autonomous robots to operate reliably in uncertain and dynamic environments…”
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A Software Framework for Planning Under Partial Observability by Hoerger, Marcus, Kurniawati, Hanna, Elfes, Alberto

“…Planning under partial observability is both challenging and critical for reliable robot operation. The past decade has seen substantial advances in this…”
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Special issue on selected and extended papers from SIMPAR 2016 by Kröger, Torsten, Menon, Samir, Mombaur, Katja, Kurniawati, Hanna, Pavone, Marco

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Personal health indexing based on medical examinations: A data mining approach by Chen, Ling, Li, Xue, Yang, Yi, Kurniawati, Hanna, Sheng, Quan Z., Hu, Hsiao-Yun, Huang, Nicole

“…We design a method called MyPHI that predicts personal health index (PHI), a new evidence-based health indicator to explore the underlying patterns of a large…”
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Partially Observable Markov Decision Processes (POMDPs) and Robotics by Kurniawati, Hanna

“…Planning under uncertainty is critical to robotics. The Partially Observable Markov Decision Process (POMDP) is a mathematical framework for such planning…”
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An On-Line POMDP Solver for Continuous Observation Spaces by Hoerger, Marcus, Kurniawati, Hanna

“…Planning under partial obervability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov…”
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Experiments on Surface Reconstruction for Partially Submerged Marine Structures by Papadopoulos, Georgios, Kurniawati, Hanna, Shariff, Ahmed Shafeeq Bin Mohd, Wong, Liang Jie, Patrikalakis, Nicholas M.

“…Over the past 10 years, significant scientific effort has been dedicated to the problem of three‐dimensional (3‐D) surface reconstruction for structural…”
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Narrow passage sampling for probabilistic roadmap planning by Zheng Sun, Hsu, D., Tingting Jiang, Kurniawati, H., Reif, J.H.

“…Probabilistic roadmap (PRM) planners have been successful in path planning of robots with many degrees of freedom, but sampling narrow passages in a robot's…”
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An On-Line POMDP Solver for Continuous Observation Spaces by Hoerger, Marcus, Kurniawati, Hanna

“…Planning under partial obervability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov…”
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