Shaokang Wu — accepted AI-conference papers

2026

A Computationally Efficient Nonparametric Approach for Robot Imitation Learning

Yijin Wang, Shaokang Wu, Chen Liu, Chuankai Zhang, João Silvério, Yanlong Huang

ICRA 2026poster

Transferring human skills to robots through learning from demonstrations has been an important topic in the robotics community, and many models have been developed for learning and adapting such skills. Among them, nonparametric representations are an appealing choice, since nonparametric solutions …

Cited by 0 Scholar ↗

2025

One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations

Shaokang Wu, Yijin Wang, Yanlong Huang

IROS 2025

In contrast to single-skill tasks, long-horizon tasks play a crucial role in our daily life, e.g., a pouring task requires a proper concatenation of reaching, grasping and pouring subtasks. As an efficient solution for transferring human skills to robots, imitation learning has achieved great progre

Cited by 1 Source ↗Scholar ↗