Cheng-Yu Kuo

According to our database, Cheng-Yu Kuo authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

VoxelDiffusionCut: Non-destructive Internal-part Extraction via Iterative Cutting and Structure Estimation.

Takumi Hachimine, Yuhwan Kwon, Cheng-Yu Kuo, Tomoya Yamanokuchi, Takamitsu Matsubara

CoRR, March, 2026

Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction.

Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara

IEEE Robotics Autom. Lett., February, 2026

Prolonging Tool Life: Learning Skillful Use of General-Purpose Tools Through Lifespan-Guided Reinforcement Learning.

Po-Yen Wu, Cheng-Yu Kuo, Yuki Kadokawa, Takamitsu Matsubara

IEEE Access, 2026

2025

Tracing Energy Flow: Learning Tactile-based Grasping Force Control to Prevent Slippage in Dynamic Object Interaction.

Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara

CoRR, December, 2025

2023

Reinforcement Learning With Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking.

Cheng-Yu Kuo, Hirofumi Shin, Takamitsu Matsubara

IEEE Robotics Autom. Lett., October, 2023

2022

TDE2-MBRL: Energy-exchange Dynamics Learning with Task Decomposition for Spring-loaded Bipedal Robot Locomotion.

Cheng-Yu Kuo, Hirofumi Shin, Takumi Kamioka, Takamitsu Matsubara

Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022

2021

Uncertainty-Aware Contact-Safe Model-Based Reinforcement Learning.

Cheng-Yu Kuo, Andreas Schaarschmidt, Yunduan Cui, Tamim Asfour, Takamitsu Matsubara

IEEE Robotics Autom. Lett., 2021

2020

Sample-and-computation-efficient Probabilistic Model Predictive Control with Random Features.

Cheng-Yu Kuo, Yunduan Cui, Takamitsu Matsubara

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020