Dingkun Guo — accepted AI-conference papers

2025

One-Shot Video Imitation via Parameterized Symbolic Abstraction Graphs

Jianren Wang, Kangni Liu, Dingkun Guo, Zhou Xian, Christopher G. Atkeson

ICRA 2025

Learning to manipulate dynamic and deformable objects from a single demonstration video holds great promise in terms of scalability. Previous approaches have predominantly focused on either replaying object relationships or actor trajectories. The former often struggles to generalize across diverse

Cited by 3 Source ↗Scholar ↗

2025

PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models

Dingkun Guo, Yuqi Xiang, Shuqi Zhao, Xinghao Zhu, Masayoshi Tomizuka, Mingyu Ding +1

IROS 2025

Robotic grasping, crucial for robot interaction with objects, still struggles with counter-intuitive or long-tailed scenarios like uncommon materials and shapes. Humans, however, intuitively adjust grasps with their physics-informed interpretations of the object, using visual and linguistic cues. Th

Cited by 16 Source ↗Scholar ↗