Purdue SMART Lab Team

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Yogang Singh

Education:
Ph.D University of Plymouth, UK, 2015-2019
Thesis Title : Cooperative Swarm Optimisation of Unmanned Surface Vehicles
M.S. Indian Institute of Technology-Madras (IIT-M), Chennai, India, 2012-2015
Thesis Title: Design and Development of an Laboratory Underwater Glider
B.Tech SRM University, Chennai, India, 2006-2010 (Mechanical Engineering)

 
Current Research:

    Currently working as a Post Doctoral Research Associate in SMART Lab on the development of a low-cost pontoon-based unmanned surface vehicle (USV) towards the development of an integrated platform comprising of a sediment sampler integrated with a USV. The idea of the research is to develop an intelligent sediment sampling system for rivers, estuaries and small streams available around agricultural bodies to monitor and quantify environmental pollution. In addition to this, I am working with a team of agricultural and flow system engineers towards the development of a smart water distribution system for irrigation in Peruvian highlands. Both projects are part of the Purdue Nexus Project (Link) towards developing multiple unmanned sampling robots (e.g., unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and remotely operated underwater vehicles (ROVs)) to carry out water and sediment sample analysis in situ in various environments and transmit results to a cloud server via a wireless network. My research areas are Multi-Robot Motion Planning, Intelligent Path Planning of Marine Robots, Design and Development of Marine Vehicles and Hydrodynamics.

Selected Publications:
  • Yogang Singh, Sanjay Sharma, Robert Sutton and Daniel Hatton, "Optimal path planning of unmanned surface vehicles", Indian Journal of Geo-Marine Sciences, 47.07 (2018), pp. 1325-1334.
  • Yogang Singh, SK Bhattacharya and VG Idichandy, "CFD approach to modelling, hydrodynamic analysis and motion characteristics of a laboratory underwater glider with experimental results", Journal of Ocean Engineering and Sciences, 2.2 (2017), pp. 90-119.
  • Yogang Singh, Sanjay Sharma, Robert Sutton, Daniel Hatton and Asiya Khan, "A constrained A* approach towards optimal path planning for an unmanned surface vehicle in a maritime environment containing dynamic obstacles and ocean currents", Ocean Engineering, 169 (2018), pp. 187-201.
  • Yogang Singh, Sanjay Sharma, Robert Sutton and Daniel Hatton, "Towards use of Dijkstra Algorithm for optimal navigation of an unmanned surface vehicle in a real- time marine environment with results from artificial potential field", International Journal on Marine Navigation and Safety of Sea Transportation, 12.01 (2017), pp. 125-131.
Contact:

    singh608 at purdue dot edu