Research Activity

My research focuses on developing advanced algorithms and machine learning models for self-driving vehicles, indoor robots, and aerial vehicles improving their motion planning, perception, decision-making, and navigation capabilities.



Publications

This is a partial list of my publications. Please visit my google scholar profile for updated information.
  1. Manyam, S. G., Nayak, A., & Rathinam, S., "G* A New Approach to Bounding Curvature Constrained Shortest Paths through Dubins Gates," Robotics: Science and Systems, 2023, [pdf]
  2. Nayak, A., & Rathinam, S., "Heuristics and Learning Models for Dubins MinMax Traveling Salesman Problem," Sensors 2023, 23(14), 6432, https://doi.org/10.3390/s23146432. [pdf]
  3. Nayak, A., Pike, A., and Rathinam, S., "Effect of Pavement Markings on Machine Vision Used in ADAS Functions," SAE Technical Paper 2022-01-0154, 2022, https://doi.org/10.4271/2022-01-0154. [pdf]
  4. S. K. K. Hari, A. Nayak and S. Rathinam, "An Approximation Algorithm for a Task Allocation, Sequencing and Scheduling Problem Involving a Human-Robot Team," in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 2146-2153, April 2020, doi: 10.1109/LRA.2020.2970689. [pdf]
  5. Nayak, A., Rathinam, S., Pike, A., and Gopalswamy, S., "Reference Test System for Machine Vision Used for ADAS Functions," SAE Technical Paper 2020-01-0096, 2020, https://doi.org/10.4271/2020-01-0096. [pdf]
  6. Ravipati, D., Chour, K., Nayak, A., Marr, T., Dey, S., Gautam, A., Rathinam, S. and Swaminathan, G., "Vision Based Localization for Infrastructure Enabled Autonomy," 2019 IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, 2019, pp. 1638-1643, doi: 10.1109/ITSC.2019.8916896. [pdf]
  7. Nayak, A., Gopalswamy, S., and Rathinam, S., "Vision-Based Techniques for Identifying Emergency Vehicles," SAE Technical Paper 2019-01-0889, 2019, https://doi.org/10.4271/2019-01-0889. [pdf]
  8. Nayak, A., Chour, K., Marr, T., Ravipati, D., Dey, S., Gautam, A., ... & Rathinam, S. (2018). A distributed hybrid hardware-in-the-loop simulation framework for infrastructure enabled autonomy. arXiv preprint arXiv:1802.01787. [pdf]

Invited Talks