2 citations · 5 across the 5 of their papers we have counts for
5 papers
What Matters in Building Vision-Language-Action Models for Generalist Robots
Xinghang Li, Peiyan Li, Long Qian +10
To utilize Foundation Vision Language Models (VLMs) for robotic tasks and motion planning, the community has proposed different methods for injecting action components into VLMs an…
One-shot Video Imitation via Parameterized Symbolic Abstraction Graphs
Jianren Wang, Kangni Liu, Dingkun Guo +2
Learning to manipulate dynamic and deformable objects from a single demonstration video holds great promise in terms of scalability. Previous approaches have predominantly focused…
PhyGrasp: Generalizing Robotic Grasping with Physics-informed Large Multimodal Models
Dingkun Guo, Yuqi Xiang, Shuqi Zhao +4
Robotic grasping is a fundamental aspect of robot functionality, defining how robots interact with objects. Despite substantial progress, its generalizability to counter-intuitive…
Learning Multi-Step Manipulation Tasks from A Single Human Demonstration
Dingkun Guo
Learning from human demonstrations has exhibited remarkable achievements in robot manipulation. However, the challenge remains to develop a robot system that matches human capabili…
Leg Shaping and Event-Driven Control of a Small-Scale, Low-DoF, Two-Mode Robot
Dingkun Guo, Larissa Wermers, Kenn R. Oldham
Among small-scale mobile robots, multi-modal locomotion can help compensate for limited actuator capabilities. However, supporting multiple locomotion modes or gaits in small terre…