Josh Bhagat Smith, Mark-Robin Giolando, Vivek Mallampati, Prakash Baskaran, Julie A. Adams. “Experimental Design Principles for Develop Machine Learning Models for Human-Robot Interaction”, Springer Nature, Emerging Frontiers in Human-Robot Interaction, 2024.
Josh Bhagat Smith, Prakash Baskaran, and Julie A. Adams. "Improving Transparency in Human-Collective Visualizations" IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN) Pasadena, CA, USA, 2024, pp. 1-7
Josh Bhagat Smith, and Julie A. Adams, "Workload estimation for unknown tasks: A survey of machine learning under distribution shift," 2024 (In Review)
Favour Aderinto*, Josh Bhagat Smith*, Mark-Robin Giolando, Prakash Baskaran, and Julie A. Adams. "Improving Human-Robot Team Transparency with Eye-tracking based Situation Awareness Assessments" Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction Boulder, CO, USA, 2024, pp. 1-5 [Best LBR Nominee]
Josh Bhagat Smith, Vivek Mallampati Prakash Baskaran, Mark-Robin Giolando, and Julie A. Adams. "Design Principles for Building Robust Human-Robot Interaction Machine Learning Models" Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction Boulder, CO, USA, 2024, pp. 1-5
Josh Bhagat Smith*, Simone Angelo Toribio*, and Julie A. Adams. "Uncertainty-Aware Visual Workload Estimation for Human-Robot Teams" Conference on Cognitive and Computational Aspects of Situation Management Philadelpha, PA, USA, 2023, pp. 1-8
Prakash Baskaran, Josh Bhagat Smith, and Julie A. Adams. "Decomposed Physical Workload Estimation for Human-Robot Teams" IEEE International Conference on Human-Machine Systems (ICHMS) Orlando, FL, USA, 2022, pp. 1-6, doi: 10.1109/ICHMS56717.2022.9980659.
Josh Bhagat Smith, Prakash Baskaran, and Julie A. Adams. "Decomposed Physical Workload Estimation for Human-Robot Teams" IEEE International Conference on Human-Machine Systems (ICHMS) Orlando, FL, USA, 2022, pp. 1-6, doi: 10.1109/ICHMS56717.2022.9980647.
Andrew J. Moore, Matthew Schubert, Terry Fang, Josh Smith, and Nicholas Rymer. "LiDAR-derived navigational geofences for low altitude flight operations." AIAA AVIATION 2020 FORUM, p. 2908. 2020.
Moore, Andrew J., Matthew Schubert, Nicholas Rymer, Swee Balachandran, Maria Consiglio, Cesar Munoz, Josh Smith, Dexter Lewis, and Paul Schneide. "Inspection of electrical transmission structures with UAV path conformance and lidar-based geofences." IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2018, pp. 1-5, doi: 10.1109/ISGT.2018.8403395.
Josh Smith, and Michael Gashler, "An Investigation of How Neural Networks Learn from the Experiences of Peers Through Periodic Weight Averaging," IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, Mexico, 2017, pp. 731-736, doi: 10.1109/ICMLA.2017.00-72
Andrew J. Moore, Matthew Schubert, Nicholas Rymer, Swee Balachandran, Maria Consiglio, Cesar Munoz, Josh Smith, Dexter Lewis, and Paul Schneider. UAV Inspection of Electrical Transmission Infrastructure with Path Conformance Autonomy and Lidar-based Geofences NASA Report on UTM Reference Mission Flights at Southern Company Flights November 2016. No. L-20871. 2017.
You can also find my articles on my Google Scholar profile.
* Denotes equal authorship