Featured Publications

For the full publication list, please see my Google scholar. :)

Point2Pose: Occlusion-Recovering 6D Pose Tracking and 3D Reconstruction for Multiple Unknown Objects Via 2D Point Trackers

Tzu-Yuan Lin, Ho Jae Lee, Kevin Doherty, Yonghyeon Lee, Sangbae Kim

Paper     Video    

Hierarchical Reactive Grasping via Task-Space Velocity Fields and Joint-Space Quadratic Programming

Yonghyeon Lee*, Tzu-Yuan Lin*, Alexander Alexiev, Sangbae Kim

IEEE International Conference on Robotics and Automation (ICRA), 2026

Website     Paper    

High-Bandwidth Tactile-Reactive Control for Grasp Adjustment

Yonghyeon Lee*, Tzu-Yuan Lin*, Alexander Alexiev, Sangbae Kim

IEEE International Conference on Robotics and Automation (ICRA), 2026

Website     Paper    

A Survey of Legged Robotics in Non-Inertial Environments: Past, Present, and Future

I-Chia Chang, Xinyan Huang, Tzu-Yuan Lin, Sangli Teng, Wenjing Li, Maani Ghaffari, Jingang Yi, Yan Gu

Paper    

Equivariant Neural Networks for General Linear Symmetries on Lie Algebras

Chankyo Kim*, Sicheng Zhao*, Minghan Zhu, Tzu-Yuan Lin, Maani Ghaffari

International Conference on Machine Learning (ICML), 2026

Website     Paper     Code    

Debiasing 6-DOF IMU via Hierarchical Learning of Continuous Bias Dynamics

Ben Liu, Tzu-Yuan Lin, Wei Zhang, Maani Ghaffari

Robotics: Science and Systems (RSS), 2025

Paper    

Riemannian Direct Trajectory Optimization of Rigid Bodies on Matrix Lie Groups

Sangli Teng, Tzu-Yuan Lin, William A Clark, Ram Vasudevan, Maani Ghaffari

Robotics: Science and Systems (RSS), 2025

Invariant Filtering for Full-State Estimation of Ground Robots in Non-Inertial Environments

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

IEEE/ASME Transactions on Mechatronics, 2025

Proprioceptive Invariant Robot State Estimation

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

Paper     Code     Video    

Legged Robot State Estimation within Non-inertial Environments

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

IEEE Conference on Decision and Control (CDC), 2024

Paper    

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

Paper     Code    

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

Paper     Code     Video    

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

Paper     Code     Video