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Journal Papers
Z. Yoon, L. Y. Zhu, J. Lu, L. Gan and Y. Zhao “STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain “, Accepted to IEEE Robotics and Automation Letters , 2025.
A. Cohen, H. Muriki, Y. Sun, Z. Qin, L. Gan and Y. Chen “A Proof-of-Concept for Non-Destructive Lettuce Nutrient Assessment using Vision Transformers and Residual Networks on Raw Hyperspectral Imagery “, in Smart Agricultural Technology , vol. 12, no. 101501, Dec. 2025.
L. Gionfrida, C. Wang, L. Gan, M. Chli and L. Carlone, “Computer and Robot Vision: Past, Present, and Future [TC Spotlight] ,” in IEEE Robotics and Automation Magazine , vol. 31, no. 3, pp. 211-215, Sept. 2024.
L. Gan*, Y. Kim*, J. W. Grizzle, J. M. Walls, A. Kim, R. M. Eustice and M. Ghaffari, “Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference ,” in IEEE Transactions on Robotics , vol. 39, no. 1, pp. 699-717, Feb. 2023.
L. Gan, J. W. Grizzle, R. M. Eustice and M. Ghaffari, “Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning ,” in IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 8807-8814, Oct. 2022.
A. Unnikrishnan, J. Wilson, L. Gan, A. Capodieci, P. Jayakumar, K. Barton and M. Ghaffari, “Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference ,” in IEEE Access , vol. 10, pp. 97954-97970, 2022.
L. Gan, R. Zhang, J. W. Grizzle, R. M. Eustice and M. Ghaffari, “Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping ,” in IEEE Robotics and Automation Letters , vol. 5, no. 2, pp. 790-797, April 2020.
S. A. Parkison, M. Ghaffari, L. Gan, R. Zhang, A. K. Ushani and R. M. Eustice, “Boosting Shape Registration Algorithms via Reproducing Kernel Hilbert Space Regularizers ,” in IEEE Robotics and Automation Letters , vol. 4, no. 4, pp. 4563-4570, Oct. 2019.
Refereed Conference Papers
S. Narayanan, L. Zhao, L. Gan and Y. Chen, “Diffusion-Denoised Hyperspectral Gaussian Splatting “, Accepted to the International Conference on 3D Vision (3DV) 2026.
F. Xie*, S. Wei*, Y. Song, Y. Yue and L. Gan, “Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning “, Proceedings of the 7th Annual Learning for Dynamics & Control Conference , PMLR 283:1392-1405, 2025.
D. Butterfield, S. S. Garimella, N.-J. Cheng and L. Gan, “MI-HGNN: Morphology-Informed Heterogeneous Graph Neural Network for Legged Robot Contact Perception “, 2025 IEEE International Conference on Robotics and Automation (ICRA) , Atlanta, GA, USA, 2025, pp. 10110-10116.
S. A. Deevi*, C. Lee*, L. Gan*, S. Nagesh, G. Pandey and S.-J. Chung, “RGB-X Object Detection via Scene-Specific Fusion Modules ,” Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , 2024, pp. 7366-7375.
C. Lee, J. G. Frennert, L. Gan, M. Anderson and S.-J. Chung, “Online Self-Supervised Thermal Water Segmentation for Aerial Vehicles ,” 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Detroit, MI, USA, 2023, pp. 7734-7741.IROS Best Paper Award on Agri-Robotics (Finalist)
L. Gan, C. Lee and S.-J. Chung, “Unsupervised RGB-to-Thermal Domain Adaptation via Multi-Domain Attention Network ,” 2023 IEEE International Conference on Robotics and Automation (ICRA) , London, United Kingdom, 2023, pp. 6014-6020.
R. Hartley, M. G. Jadidi, L. Gan, J. -K. Huang, J. W. Grizzle and R. M. Eustice, “Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs ,” 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , Madrid, Spain, 2018, pp. 3783-3790.
R. Hartley, J. Mangelson, L. Gan, M. G. Jadidi, J. M. Walls, R. M. Eustice and J. W. Grizzle, “Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors ,” 2018 IEEE International Conference on Robotics and Automation (ICRA) , Brisbane, QLD, Australia, 2018, pp. 4422-4429.
S. A. Parkison, L. Gan, M. G. Jadidi and R. M. Eustice, “Semantic Iterative Closest Point through Expectation-Maximization ,” 2018 British Machine Vision Conference (BMVC) , Newcastle, UK, 2018, pp. 1-17.
Theses
