A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning

[1]  Cindy Cappelle,et al.  Multi-object tracking with discriminant correlation filter based deep learning tracker , 2019, Integr. Comput. Aided Eng..

[2]  Giancarlo Mauri,et al.  A survey on space complexity of P systems with active membranes , 2018 .

[3]  Andrei George Florea,et al.  Membrane computing models and robot controller design, current results and challenges , 2019, Journal of Membrane Computing.

[4]  Ming Zhu,et al.  A multi-aperture optical flow estimation method for an artificial compound eye , 2019, Integr. Comput. Aided Eng..

[5]  Mario J. Pérez-Jiménez,et al.  An interactive timeline of simulators in membrane computing , 2019, Journal of Membrane Computing.

[6]  Hojjat Adeli,et al.  Distributed neural dynamics algorithms for optimization of large steel structures , 1997 .

[7]  Marian Gheorghe,et al.  P systems applications to systems biology , 2008, Biosyst..

[8]  Mario J. Pérez-Jiménez,et al.  Population Dynamics P System (PDP) Models: A Standardized Protocol for Describing and Applying Novel Bio-Inspired Computing Tools , 2013, PloS one.

[9]  Catalin Buiu,et al.  Using enzymatic numerical P systems for modeling mobile robot controllers , 2011, Natural Computing.

[10]  H. Adeli,et al.  Robust Parallel Algorithms for Solution of Riccati Equation , 1997 .

[11]  Bogdan Aman,et al.  Synchronization of rules in membrane computing , 2019, J. Membr. Comput..

[12]  Andrei Paun,et al.  Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request , 2018, Int. J. Neural Syst..

[13]  Jean-Claude Latombe,et al.  Motion Planning: A Journey of Robots, Molecules, Digital Actors, and Other Artifacts , 1999, Int. J. Robotics Res..

[14]  Troels Henriksen,et al.  Strategies for regular segmented reductions on GPU , 2017, FHPC@ICFP.

[15]  Gheorghe Paun,et al.  Membrane Computing as a Modeling Framework. Cellular Systems Case Studies , 2008, SFM.

[16]  Dirk Schulz,et al.  Hierarchical rough terrain motion planning using an optimal sampling-based method , 2013, 2013 IEEE International Conference on Robotics and Automation.

[17]  Arturo de la Escalera,et al.  A vision-based navigation system for Unmanned Aerial Vehicles (UAVs) , 2019, Integr. Comput. Aided Eng..

[18]  Mario J. Pérez-Jiménez,et al.  Simulation of Rapidly-Exploring Random Trees in Membrane Computing with P-Lingua and Automatic Programming , 2018, Int. J. Comput. Commun. Control.

[19]  João Paulo Papa,et al.  Meta‐heuristic multi‐ and many‐objective optimization techniques for solution of machine learning problems , 2017, Expert Syst. J. Knowl. Eng..

[20]  Hojjat Adeli,et al.  Distributed Finite-Element Analysis on Network of Workstations—Implementation and Applications , 1995 .

[21]  Kevin Skadron,et al.  Scalable parallel programming , 2008, 2008 IEEE Hot Chips 20 Symposium (HCS).

[22]  Yun Jiang,et al.  An improved universal spiking neural P system with generalized use of rules , 2019, J. Membr. Comput..

[23]  Emilio Frazzoli,et al.  Massively parallelizing the RRT and the RRT , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[24]  Agustín Riscos-Núñez,et al.  A path to computational efficiency through membrane computing , 2019, Theor. Comput. Sci..

[25]  Gheorghe Paun,et al.  A quick introduction to membrane computing , 2010, J. Log. Algebraic Methods Program..

[26]  Rupak Biswas,et al.  High performance computing using MPI and OpenMP on multi-core parallel systems , 2011, Parallel Comput..

[27]  Yasar Ayaz,et al.  RRT*-SMART: A Rapid Convergence Implementation of RRT* , 2013 .

[28]  Pablo Martínez-Cañada,et al.  A Neuronal Network Model of the Primate Visual System: Color Mechanisms in the Retina, LGN and V1 , 2019, Int. J. Neural Syst..

[29]  Alejandro Duran,et al.  A Proposal for User-Defined Reductions in OpenMP , 2010, IWOMP.

[30]  H. Adeli,et al.  Parallel Eigenvalue Algorithms for Large-Scale Control-Optimization Problems , 1996 .

[31]  Paolo Milazzo,et al.  Minimal probabilistic P systems for modelling ecological systems , 2015, Theor. Comput. Sci..

[32]  John H. Reif,et al.  Complexity of the mover's problem and generalizations , 1979, 20th Annual Symposium on Foundations of Computer Science (sfcs 1979).

[33]  Gheorghe Paun,et al.  Computing with Membranes , 2000, J. Comput. Syst. Sci..

[34]  Gheorghe Paun,et al.  Membrane Computing and Economics: Numerical P Systems , 2006, Fundam. Informaticae.

[35]  Anne C. Elster,et al.  Characterizing numascale clusters with GPUs: MPI-based and GPU interconnect benchmarks , 2016, 2016 International Conference on High Performance Computing & Simulation (HPCS).

[36]  Hojjat Adeli,et al.  Recent advances in control algorithms for smart structures and machines , 2017, Expert Syst. J. Knowl. Eng..

[37]  Ming Zhu,et al.  Geometry based three-dimensional image processing method for electronic cluster eye , 2018, Integr. Comput. Aided Eng..

[38]  Catalin Buiu,et al.  Enzymatic numerical P systems - a new class of membrane computing systems , 2010, 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA).

[39]  Juan Miguel Ortiz-de-Lazcano-Lobato,et al.  Motion detection with low cost hardware for PTZ cameras , 2019, Integr. Comput. Aided Eng..

[40]  S. LaValle,et al.  Randomized Kinodynamic Planning , 2001 .

[41]  Joanna Isabelle Olszewska,et al.  OPEN: New Path-Planning Algorithm for Real-World Complex Environment , 2016, SGAI Conf..

[42]  Petr Sosík.  P systems attacking hard problems beyond NP: a survey , 2019, J. Membr. Comput..

[43]  Emilio Frazzoli,et al.  Sampling-based algorithms for optimal motion planning , 2011, Int. J. Robotics Res..

[44]  Hojjat Adeli,et al.  Distributed Finite-Element Analysis on Network of Workstations—Algorithms , 1995 .

[45]  Linqiang Pan,et al.  Spiking Neural P Systems With Communication on Request and Mute Rules , 2017, IEEE Transactions on Parallel and Distributed Systems.

[46]  José M. García,et al.  Simulation of P Systems with Active Membranes on CUDA , 2010, 2009 International Workshop on High Performance Computational Systems Biology.

[47]  Mario J. Pérez-Jiménez,et al.  Simulating P Systems on GPU Devices: A Survey , 2015, Fundam. Informaticae.

[48]  H. A. Varol,et al.  Rapidly-exploring random tree based memory efficient motion planning , 2013, 2013 IEEE International Conference on Mechatronics and Automation.

[49]  Anthony Stentz,et al.  The Focussed D* Algorithm for Real-Time Replanning , 1995, IJCAI.

[50]  Wilfried Philips,et al.  Cell-based shape reconstruction from incomplete silhouettes , 2019, Integr. Comput. Aided Eng..

[51]  Hojjat Adeli,et al.  Parallel algorithms for integrated structural/control optimization , 1994 .

[52]  Zhengyou He,et al.  Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems , 2015, IEEE Transactions on Power Systems.

[53]  Amna Khan,et al.  A Path-Planning Performance Comparison of RRT*-AB with MEA* in a 2-Dimensional Environment , 2019, Symmetry.

[54]  Siddhartha S. Srinivasa,et al.  Informed RRT*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.