Featured Publications

Preprints

Legged Robot State Estimation within Non-inertial Environments

Zijian He, Sangli Teng, Tzu-Yuan Lin, Maani Ghaffari, and Yan Gu

arXiv (Submitted to CDC 2024), 2024

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Proprioceptive Invariant Robot State Estimation

Tzu-Yuan Lin, Tingjun Li, Wenzhe Tong, and Maani Ghaffari

arXiv, 2023

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Adaptive Continuous Visual Odometry from RGB-D Images

Tzu-Yuan Lin, William Clark, Ryan M. Eustice, Jessy W. Grizzle, Anthony Bloch, and Maani Ghaffari

arXiv, 2019

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Journal Articles

A Robust Keyframe-Based Visual SLAM for RGB-D Cameras in Challenging Scenarios

Xi Lin, Yewei Huang, Dingyi Sun, Tzu-Yuan Lin, Brendan Englot, Ryan M Eustice, Maani Ghaffari

IEEE Access, 2023

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Progress in symmetry preserving robot perception and control through geometry and learning

Maani Ghaffari, Ray Zhang, Minghan Zhu, Chien Erh Lin, Tzu-Yuan Lin, Sangli Teng, Tingjun Li, Tianyi Liu, and Jingwei Song

Frontiers in Robotics and AI, 2022

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Refereed Conference Papers

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras

Tzu-Yuan Lin, Minghan Zhu, and Maani Ghaffari

International Conference on Machine Learning (ICML), 2024

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Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer

Xihang Yu, Sangli Teng, Theodor Chakhachiro, Wenzhe Tong, Tingjun Li, Tzu-Yuan Lin, Sarah Koehler, Manuel Ahumada, Jeffrey M. Walls, and Maani Ghaffari

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

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A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras

Ray Zhang, Tzu-Yuan Lin, Chien Erh Lin, Steven A. Parkison, William Clark, Jessy W. Grizzle, Ryan M. Eustice, Maani Ghaffari

IEEE International Conference on Robotics and Automation (ICRA), 2021

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Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events

Tzu-Yuan Lin, Ray Zhang, Justin Yu, and Maani Ghaffari

Conference on Robot Learning (CoRL), 2021

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