Google Scholar Profile

Journal and magazine articles

  1. Xu Liu, Steven W. Chen, Chenhao Liu, Shreyas S. Shivakumar, Jnaneshwar Das, Camillo J. Taylor, James Underwood, Vijay Kumar, "Monocular Camera Based Fruit Counting and Mapping With Semantic Data Association," in IEEE Robotics and Automation Letters, vol. 4, no. 3, pp. 2296-2303, July 2019.

  2. S. Chen, S. Skandan, S. Dcunha, J. Das, C. Qu, C.J. Taylor, V. Kumar, ”Counting Apples and Oranges With Deep Learning: A Data-Driven Approach,” in IEEE Robotics and Automation Letters, vol. 2, no. 2, pp. 781-788, April 2017. pdf

  3. R. Ehsani, D. Wulfsohn, J. Das, I.Z. Lagos, ”Yield Estimation: A Low-Hanging Fruit for Application of Small UAS,” in ASABE Resource: Engineering & Technology for a Sustainable World, July 2016, pp. 16-18.

  4. R. Ehsani and J. Das, Yield estimation in citrus with SUAVs, Citrus Extension Trade Journals, pp. 16-18, 2016

  5. J. Das, F. Py, H. Harvey, J. Ryan, A. Gellene, R. Graham, D. Caron, K. Rajan, and G. Sukhatme, ”Data-driven Robotic Sampling for Marine Ecosystem Monitoring”, in International Journal of Robotics Research, 34(12):1435-1452, Oct 2015. pdf

  6. J. Das, F. Py, T. Maughan, T. O’Reilly, M. Messi, J. Ryan, G. Sukhatme, and K. Rajan, “Coordinated Sampling of Dynamic Oceanographic Features with Underwater Vehicles and Drifters”, in International Journal of Robotics Research, Vol. 31, p. 626-646, April 2012. pdf

  7. A. Garcia-Olaya, F. Py, J. Das, and K. Rajan, “An On-line Utility based Multi-criteria Approach for Sampling Dynamic Ocean Fields”, in IEEE Journal of Oceanic Engineering, April 2012.

  8. R. Smith, J. Das, H. Heidarsson, A. de Menezes Pereira, F. Arrichiello, I. Cetinic, L. Dar- jany, M. Garneau, M. Howard, C. Oberg, M. Ragan, E. Seubert, E. Smith, B. Stauffer, A. Schnetzer, G. Toro-Farmer, D. Caron, B. Jones, and G. Sukhatme, “USC CINAPS Builds Bridges: Observing and Monitoring the Southern California Bight”, In IEEE Robotics and Automation Magazine, vol. 17, no. 1, pp. 20-30, Mar 2010.

  9. D.Caron,B.Stauffer,S.Moorthi,A.Singh,M.Batalin,E.Graham,M.Hansen,W.Kaiser,J. Das, A. de Menezes Pereira, A. Dhariwal, B. Zhang, C. Oberg, and G. Sukhatme, “Macro- to fine-scale spatial and temporal distributions and dynamics of phytoplankton and their environmental driving forces in a small subalpine lake in southern California, USA”, In Journal of Limnology and Oceanography, vol. 53, no. 5, pp. 2333-2349, 2008.

Referred conference publications

  1. Zhiang Chen, Tyler R. Scott, Sarah Bearman, Harish Anand, Chelsea Scott, J Ramón Arrowsmith, Jnaneshwar Das, "Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning", accepted at IEEE/RSJ International Conference on Intelligent Robots and Systems (2020). pdf

  2. Harish Anand, Jnaneshwar Das, Zhiang Chen, "The OpenUAV Swarm Simulation Testbed: a Collaborative Design Studio for Field Robotics", preprint pdf

  3. Sarah Bearman, Zhiang Chen, Harish Anand, Scott Sprague, Jeff Gagnon, and Jnaneshwar Das, "Towards Automated Monitoring of Animal Movement using Camera Networks and AI". Robotics Science and Systems (RSS) 2019 workshop, Robots in the Wild: Challenges in Deploying Robust Autonomy for Robotic Exploration, Germany, June 2019. 

  4. Guanrui Li, Bruno Gabrich, David Saldaña, Jnaneshwar Das, V. Kumar and M. Yim, "ModQuad-Vi: A Vision-Based Self-Assembling Modular Quadrotor," 2019 International Conference on Robotics and Automation (ICRA), Montreal, QC, Canada, 2019, pp. 346-352. doi: 10.1109/ICRA.2019.8794056

  5. Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, and Vijay Kumar, "Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion", in International Conference on Intelligent Robots and Systems (IROS) 2018. pdf

  6. M. Schmittle, A. Lukina, L. Vacek, J. Das, C. P. Buskirk, S. Rees, J. Sztipanovits, R. Grosu and V. Kumar, ”OpenUAV: A UAV Testbed for the CPS and Robotics Community,” 2018 International Conference on Cyber-Physical systems (ICCPS), accepted.

  7. L. Vacek, E. Atter, P. Rizo, B. Nam, R. Kortvelesy, D. Kaufman, J. Das, V. Kumar, ”sUAS for deployment and recovery of an environmental sensor probe,” 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, USA, 2017, pp. 1022-1029.

  8. D. Orol, J. Das, L. Vacek, I. Orr, M. Paret, C.J. Taylor, V. Kumar, ”An aerial phyto- biopsy system: Design, evaluation, and lessons learned,” 2017 International Conference on Unmanned Aircraft Systems (ICUAS), Miami, FL, USA, 2017, pp. 188-195.

  9. S. K. Sarkar, J. Das, R. Ehsani and V. Kumar, ”Towards autonomous phytopathology: Out- comes and challenges of citrus greening disease detection through close-range remote sensing,” 2016 IEEE International Conference on Robotics and Automation (ICRA), Stockholm, 2016, pp. 5143-5148. pdf

  10. J. Das, G. Cross, C. Qu, A. Makineni, P. Tokekar, Y. Mulgaonkar, V. Kumar, ”Devices, Systems, and Methods for Automated Monitoring enabling Precision Agriculture,” in IEEE International Conference on Automation Science and Engineering (CASE), vol., no., pp.462- 469, 24-28 Aug. 2015. pdf

  11. P. Ngo, J. Das, J. Ogle, J. Thomas, W. Anderson and R. N. Smith, ”Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data,” 2014 IEEE/RSJ Inter- national Conference on Intelligent Robots and Systems, Chicago, IL, 2014, pp. 2250-2256.

  12. K. Gomes, D. Cline, D. Edgington, M. Godin, T. Maughan, M. McCann, T. OReilly, F. Bahr, F. Chavez, M. Messi ́e, J. Das, K. Rajan, “ODSS: A Decision Support System for Ocean Exploration”, In 29th IEEE International Conference on Data Engineering, Workshop on Data-Driven Decision Guidance and Support Systems (DGSS) 2013.

  13. J. Das, J. Harvey, F. Py, H. Vathsangam, R. Graham, K. Rajan, and G. Sukhatme, “Hier- archical Probabilistic Regression for AUV-based Adaptive Sampling of Marine Phenomena, In IEEE International Conference on Robotics and Automation, 2013.

  14. W. Al-Sabban, J. Das, and R. N. Smith, ”Persistent robot tasking for environmental moni- toring through crowd-sourcing,” 2013 OCEANS - San Diego, San Diego, CA, 2013, pp. 1-6

  15. J. Das, W. Evans, M. Minnig, A. Bahr, G. Sukhatme, and A. Martinoli, “Environmental Sensing using Land-based Spectrally-selective Cameras and a Quadcopter”, In 13th Interna- tional Symposium on Experimental Robotics, 2012.

  16. R. Graham, F. Py, J. Das, D. Lucas, and K. Rajan, ”Exploring Space-Time Tradeoffs in Au- tonomous Sampling for Marine Robotics”, in 13th International Symposium on Experimental Robotics, 2012.

  17. R. Smith, J. Das, G. Hine, W. Anderson, and G. Sukhatme, ”Predicting Wave Glider Speed from Environmental Measurements”, In MTS/IEEE OCEANS ’11, Kona, Hawaii, Sep 2011.

  18. J. Das, T. Maughan, M. McCann, M. Godin, T. O’Reilly, M. Messi, F. Bahr, K. Gomes, F. Py, J. Bellingham, G. Sukhatme, and K. Rajan, “Towards Mixed-initiative, Multi-robot Field Experiments: Design, Deployment, and Lessons Learned”, In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.

  19. J. Das, F. Py, T. Maughan, T. O’Reilly, M. Messi, J. Ryan, K. Rajan, and G. Sukhatme, ”Simultaneous Tracking and Sampling of Dynamic Oceanographic Features with AUVs and Drifters”, In 12th International Symposium on Experimental Robotics, 2010, Dec 2010.

  20. R. Smith, J. Das, Y. Chao, D. Caron, B. Jones, and G. Sukhatme, ”Cooperative Multi- AUV Tracking of Phytoplankton Blooms based on Ocean Model Predictions”, In Oceans ’10 - IEEE Sydney, Sydney, Australia, May 2010.

  21. J. Das, K. Rajan, S. Frolov, J. Ryan, F. Py, D. Caron, and G. Sukhatme, ”Towards Marine Bloom Trajectory Prediction for AUV Mission Planning”, In IEEE International Conference on Robotics and Automation, pp. 4784 - 4790 , May 2010.

  22. F.Arrichiello,J.Das,H.Heidarsson,A.deMenezesPereira,S.Chiaverini,andG.Sukhatme, ”Multi-Robot Collaboration with Range-Limited Communication: Experiments with Two Underactuated ASVs”, In The 7th International Conference on Field and Service Robots, Cambridge, Massachusetts, Jul 2009.

  23. J. Das, and G. Sukhatme, ”A Robotic Sentinel for Benthic Sampling along a Transect”, In IEEE International Conference on Robotics and Automation, pp. 206 - 213 , May 2009.

  24. R. Smith, B. Stauffer, J. Das, H. Heidarsson, A. de Menezes Pereira, Y. Chao, L. Darjany, I. Cetinic, D. Estrin, C. Oberg, M. Ragan, B. Jones, G. Sukhatme, and D. Caron, “Design and Implementation of Sensor Networks for the Observation and Research of Harmful Algal Blooms in Southern California Coastal Waters”, In Proceedings of the Conference on Coastal Environmental Sensing Networks, pp. 5-7, Boston, MA, Jul 2009.

  25. M. Gupta, J. Das, M. Vieira, H. Heidarsson, H. Vathsangam, and G. Sukhatme, ”Collective Transport of Robots: Emergent Flocking from Minimalist Multi-robot Leader-following”, In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009.

  26. F. Arrichiello, D. Liu, S. Yerramalli, A. de Menezes Pereira, J. Das, U. Mitra, and G. Sukhatme, ”Effects of underwater communication constraints on the control of marine robot teams”, In International Conference on Robot Communication and Coordination, Odense, Denmark, Mar 2009

Patents

  1. Systems, Devices, and Methods for Robotic Remote Sensing for Precision Agriculture, V.Kumar, G. Cross, C. Qu, J. Das, A. Makineni, Y. Mulgaonkar (US20170372137).
  2. Systems, Devices, and Methods for Agricultural Sample Collection. D. Orol, L. Vacek, D. Kaufman, J. Das & V. Kumar; (US patent filed, May 2018).

 

Masters theses 

  • J. Das, A Robotic System for Benthic Sampling Along a Transect, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA, May 2008. pdf



Ph.D. dissertations 

  • J. Das, Data-driven Robotic Sampling for Marine Ecosystem Monitoring, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA, May 2014. pdf