Gaurav Kewlani - Publications

Affiliations: 
2009 Massachusetts Institute of Technology, Cambridge, MA, United States 

7 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Chakroun NW, Shanbhogue SJ, Taamallah S, Michaels D, Kewlani G, Ghoneim AF. Investigation of Reduced Kinetics Mechanisms for Accurate LES and Scaling of the Dynamics of Premixed Swirling Oxy-Fuel Combustion Combustion Science and Technology. 1-21. DOI: 10.1080/00102202.2019.1684907  0.332
2012 Kewlani G, Crawford J, Iagnemma K. A polynomial chaos approach to the analysis of vehicle dynamics under uncertainty Vehicle System Dynamics. 50: 749-774. DOI: 10.1080/00423114.2011.639897  0.527
2010 Ishigami G, Kewlani G, Iagnemma K. Statistical mobility prediction for planetary surface exploration rovers in uncertain terrain Proceedings - Ieee International Conference On Robotics and Automation. 588-593. DOI: 10.1109/Robot.2010.5509300  0.564
2009 Rohde MM, Crawford J, Toschlog M, Iagnemma KD, Kewlani G, Cummins CL, Jones RA, Horner DA. An Interactive, physics-based unmanned ground vehicle simulator leveraging open source gaming technology: Progress in the development and application of the virtual autonomous navigation environment (VANE) desktop Proceedings of Spie - the International Society For Optical Engineering. 7332. DOI: 10.1117/12.820069  0.508
2009 Ishigami G, Kewlani G, Iagnemma K. Predictable mobility Ieee Robotics and Automation Magazine. 16: 61-70. DOI: 10.1109/Mra.2009.934823  0.562
2008 Kewlani G, Iagnemma K. Mobility prediction for unmanned ground vehicles in uncertain environments Proceedings of Spie - the International Society For Optical Engineering. 6962. DOI: 10.1117/12.782222  0.472
2008 Kewlani G, Iagnemma K. A stochastic response surface approach to statistical prediction of mobile robot mobility 2008 Ieee/Rsj International Conference On Intelligent Robots and Systems, Iros. 2234-2239. DOI: 10.1109/IROS.2008.4651187  0.4
Show low-probability matches.