Max Yang

According to our database, Max Yang authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Coarse-to-Fine Robotic Pushing Using Touch, Vision and Proprioception.

Bowen Deng, Yijiong Lin, Max Yang, Nathan F. Lepora

IEEE Robotics Autom. Lett., February, 2025

2024

AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch.

Max Yang, Chenghua Lu, Alex Church, Yijiong Lin, Chris Ford, Haoran Li, Efi Psomopoulou, David A. W. Barton, Nathan F. Lepora

CoRR, 2024

DexiTac: Soft Dexterous Tactile Gripping.

Chenghua Lu, Kailuan Tang, Max Yang, Tianqi Yue, Nathan F. Lepora

CoRR, 2024

Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces.

Mauro Comi, Alessio Tonioni, Max Yang, Jonathan Tremblay, Valts Blukis, Yijiong Lin, Nathan F. Lepora, Laurence Aitchison

CoRR, 2024

2023

Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing.

Max Yang, Yijiong Lin, Alex Church, John Lloyd, Dandan Zhang, David A. W. Barton, Nathan F. Lepora

IEEE Robotics Autom. Lett., September, 2023

Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning.

Yijiong Lin, Alex Church, Max Yang, Haoran Li, John Lloyd, Dandan Zhang, Nathan F. Lepora

IEEE Robotics Autom. Lett., September, 2023

Tac-VGNN: A Voronoi Graph Neural Network for Pose-Based Tactile Servoing.

Wen Fan, Max Yang, Yifan Xing, Nathan F. Lepora, Dandan Zhang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023