Jnaneshwar Das
Jnaneshwar Das
Alberto Enrique Behar Research Professor, Arizona State University
Email confirmado em asu.edu - Página inicial
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Counting apples and oranges with deep learning: A data-driven approach
SW Chen, SS Shivakumar, S Dcunha, J Das, E Okon, C Qu, CJ Taylor, ...
IEEE Robotics and Automation Letters 2 (2), 781-788, 2017
1712017
Devices, systems, and methods for automated monitoring enabling precision agriculture
J Das, G Cross, C Qu, A Makineni, P Tokekar, Y Mulgaonkar, V Kumar
2015 IEEE International Conference on Automation Science and Engineering …, 2015
1202015
Coordinated sampling of dynamic oceanographic features with underwater vehicles and drifters
J Das, F Py, T Maughan, T O’reilly, M Messié, J Ryan, GS Sukhatme, ...
The International Journal of Robotics Research 31 (5), 626-646, 2012
752012
USC CINAPS builds bridges: Observing and monitoring the Southern California Bight
RN Smith, J Das, H Heidarsson, AM Pereira, F Arrichiello, I Cetnic, ...
IEEE Robotics & Automation Magazine 17 (1), 20-30, 2010
742010
Data-driven robotic sampling for marine ecosystem monitoring
J Das, F Py, JBJ Harvey, JP Ryan, A Gellene, R Graham, DA Caron, ...
The International Journal of Robotics Research 34 (12), 1435-1452, 2015
692015
Towards marine bloom trajectory prediction for AUV mission planning
J Das, K Rajan, S Frolov, F Py, J Ryan, DA Caron, GS Sukhatme
Robotics and Automation (ICRA), 2010 IEEE International Conference on, 4784-4790, 2010
472010
An experimental study of station keeping on an underactuated ASV
A Pereira, J Das, GS Sukhatme
2008 IEEE/RSJ International Conference on Intelligent RObots and Systems …, 2008
442008
Robust fruit counting: Combining deep learning, tracking, and structure from motion
X Liu, SW Chen, S Aditya, N Sivakumar, S Dcunha, C Qu, CJ Taylor, ...
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
382018
Simultaneous tracking and sampling of dynamic oceanographic features with autonomous underwater vehicles and lagrangian drifters
J Das, F Py, T Maughan, T O’Reilly, M Messie, J Ryan, K Rajan, ...
Experimental Robotics, 541-555, 2014
352014
Towards mixed-initiative, multi-robot field experiments: Design, deployment, and lessons learned
J Das, T Maughan, M McCann, M Godin, T O'Reilly, M Messié, F Bahr, ...
2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011
342011
Macro‐to fine‐scale spatial and temporal distributions and dynamics of phytoplankton and their environmental driving forces in a small montane lake in southern California, USA
DA Caron, B Stauffer, S Moorthi, A Singh, M Batalin, EA Graham, ...
Limnology and Oceanography 53 (5part2), 2333-2349, 2008
342008
Multi-robot collaboration with range-limited communication: Experiments with two underactuated ASVs
F Arrichiello, J Das, H Heidarsson, A Pereira, S Chiaverini, GS Sukhatme
Field and service robotics, 443-453, 2010
322010
Predicting wave glider speed from environmental measurements
RN Smith, J Das, G Hine, W Anderson, GS Sukhatme
OCEANS'11 MTS/IEEE KONA, 1-8, 2011
292011
OpenUAV: a UAV testbed for the CPS and robotics community
M Schmittle, A Lukina, L Vacek, J Das, CP Buskirk, S Rees, J Sztipanovits, ...
2018 ACM/IEEE 9th International Conference on Cyber-Physical Systems (ICCPS …, 2018
222018
An Online Utility-Based Approach for Sampling Dynamic Ocean Fields
A García-Olaya, F Py, J Das, K Rajan
Oceanic Engineering, IEEE Journal of, 1-1, 2012
222012
Effects of underwater communication constraints on the control of marine robot teams
F Arrichiello, DN Liu, S Yerramalli, A Pereira, J Das, U Mitra, ...
2009 Second International Conference on Robot Communication and Coordination …, 2009
222009
Hierarchical Probabilistic Regression for AUV-based Adaptive Sampling of Marine Phenomena
J Das, J Harvey, F Py, H Vathsangam, R Graham, K Rajan, GS Sukhatme
IEEE International Conference on Robotics and Automation, 2013
192013
Monocular camera based fruit counting and mapping with semantic data association
X Liu, SW Chen, C Liu, SS Shivakumar, J Das, CJ Taylor, J Underwood, ...
IEEE Robotics and Automation Letters 4 (3), 2296-2303, 2019
172019
Predicting the speed of a wave glider autonomous surface vehicle from wave model data
P Ngo, J Das, J Ogle, J Thomas, W Anderson, RN Smith
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014
172014
An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle
P Ngo, W Al-Sabban, J Thomas, W Anderson, J Das, RN Smith
Proceedings of Australasian Conference on Robotics and Automation …, 2013
172013
O sistema não pode efectuar a operação agora. Tente novamente mais tarde.
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