Adyasha Mohanty, Advanced Path Planning on Mars: A Case Study of Large Language Model Integration and Risk Assessment, ICRA 2025, Accepted. 

Adyasha Mohanty, Conditional Diffusion Models for Targeted Martian Terrain Generation, Complex Adaptive Systems (CAS) Conference, MIT, 2025, Accepted.

Adyasha Mohanty, NeRF-Based Semantic Mapping for Heterogeneous Robot Teams, Complex Adaptive Systems (CAS) Conference, MIT, 2025, Accepted. 

Adyasha Mohanty and Patrick Liu, A Case Study of Large Vision Language Models for Improving GNSS Positioning Accuracy, IEEE ION PLANS 2025, Accepted. 

Adyasha Mohanty and Bob Zheng,A Simulation Framework for Optimizing Drone-Based Neural Radiance Field Reconstruction, IEEE ION PLANS 2025, Accepted. 

Adyasha Mohanty, and Grace Gao, Graph Neural Network Enhanced GNSS Tightly Cou pled with Neural Radiance Field Maps for UAV Navigation, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2024), Baltimore, MD, Sep 2024.

Adyasha Mohanty, and Grace Gao, Fusing GNN-enhanced GNSS with Neural Radiance Fields for Urban Drone Navigation, International Technical Meeting (ITM) of the Institute of Navigation (ION ITM 2024), Long Beach, CA, Jan 2024. DOI:10.33012/2024.19518. 

Adyasha Mohanty, and Grace Gao, Tightly Coupled Graph Neural Network and Kalman Filter for Improving Smartphone GNSS Positioning, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2023), Denver, CO, Sep 2023, pp. 175-187. DOI: 10.33012/2023.19300.

Asta Wu, Adyasha Mohanty, Anonto Zaman, and Grace Gao, Bounding GPS-Based Po sitioning and Navigation Uncertainty for Autonomous Drifting via Reachability, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2023), Denver, CO, Sep 2023, pp. 712-726. DOI: 10.33012/2023.19229.

Adyasha Mohanty and Grace Gao, Learning GNSS Positioning Corrections for Smart phones using Graph Convolution Neural Networks, Institute of Navigation GNSS+ conference (ION GNSS+ 2022), Denver, CO, Sep 2022. DOI: 10.33012/2022.18372.

Shubh Gupta, Adyasha Mohanty and Grace Gao, Getting The Best of Particle and Kalman Filters: GNSS Sensor Fusion using Rao-Blackwellized Particle Filter, Institute of Navigation GNSS+ conference (ION GNSS+ 2022), Denver, CO, Sep 2022. DOI: 10.33012/2022.18470 2. 

Adyasha Mohanty, Asta Wu, Sriramya Bhamidipati and Grace Gao, Precise Relative Positioning via Tight-Coupling of GPS Carrier Phase Measurements and Multiple UWBs, IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, May 2022. DOI: 10.1109/LRA.2022.3145051.

David Stier, Asta Wu, Adyasha Mohanty and Grace Gao, A Test Platform for UWB-Based Localization of Dynamic Multi-Agent Systems, IEEE International Conference on Robotics and Automation (ICRA), Philadelphia, PA, May 2022. DOI: 10.1109/LRA.2022.3146609.

Adyasha Mohanty andGraceGao, AParticle Filtering Framework for Tight GNSS-Camera Fusion using Convolutional Neural Networks, Proceedings of the Institute of Navigation GNSS+conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021. DOI: 10.33012/2021.17940.

Adyasha Mohanty, Remy Zawislak, Sriramya Bhamidipati, and Grace Gao, Precise Rela tive Positioning for Tandem Drifting Cars, Proceedings of the Institute of Navigation GNSS+ conference (ION GNSS+ 2021), St. Louis, MO, Sep 2021. DOI: 10.33012/2021.17871.

Adyasha Mohanty, Shubh Gupta and Grace Gao, A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion, Proceedings of the Institute of Navigation GNSS+conference (ION GNSS+ 2020), St. Louis, MO, Sep 2020. DOI: 10.33012/2020.17660. 

Adyasha Mohanty, and Grace Gao, A Survey of AI Techniques for Improving GNSS Positioning, EURASIP Journal on Advances in Signal Processing, no. 73, June 2024. DOI:10.1186/s13634-024-01167-7.

 Adyasha Mohanty, and Grace Gao, Learning GNSS Positioning Corrections for Smartphones using Graph Convolutional Neural Networks, Navigation: Journal of the Institute of Navigation, vol. 70, no. 4, Dec 2023. DOI: 10.33012/navi.622.

Shubh Gupta, Adyasha Mohanty, and Grace Gao, Urban Localization using Robust Fil tering at Multiple Linearization Points, EURASIP Journal on Advances in Signal Processing, no. 100, pp. 79, Oct. 2023. DOI: 10.1109/LRA.2022.3145051.

 Adyasha Mohanty, Asta Wu, Sriramya Bhamidipati, and Grace Gao, Precise Relative Positioning via Tight Coupling of GPS Carrier Phase and Multiple UWBs, IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 5757- 5762, Apr. 2022. DOI: 10.1109/LRA.2022.314505.

 David Stier, Asta Wu, Adyasha Mohanty and Grace Gao, A Test Platform for UWB-Based Localization of Dynamic Multi-Agent Systems, IEEE Robotics and Automation Letters, vol.7, no. 2, pp. 3773-3778, Apr. 2022. DOI: 10.1109/LRA.2022.3146609.

Adyasha Mohanty, Shubh Gupta and Grace Gao, A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion, Navigation: Journal of the Institute of Navi gation, vol. 68, no. 4, pp. 709-726, Dec 2021. DOI: 10.1002/navi.45.

Adyasha Mohanty, and Grace Gao, Tightly Coupled Graph Neural Network and Kalman Filter for Improving Smartphone GNSS Positioning, Navigation: Journal of the Institute of Navigation, Accepted. 

Adyasha Mohanty and Grace Gao, Learning GNSS Positioning Corrections for Smart phones using Graph Convolution Neural Networks, InsideGNSS Magazine, June 2023. 

Adyasha Mohanty, Hybrid model- and learning-based methods for safe and robust urban localization, Stanford University. Available at https://purl.stanford.edu/ky404nq9228