Edmond Tong

I am currently pursuing a PhD at Queensland University of Technology (QUT) in the Visual Learning and Understanding Group. I completed an MS in Robotics from the University of Michigan (2024), and I hold a BS in Mechanical Engineering from Brigham Young University (2018). My research interests lie at the intersection of computer vision, robotics, and machine learning.

I'm interested in enabling robots to understand and act in open-world environments. Specifically, I aim to generalize robotic manipulation policies beyond object class and spatial differences, tackling challenges such as diverse task semantics, environmental variability, and contextual reasoning in unstructured real-world settings.

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Research

OVAL-Grasp OVAL‑Grasp: Open‑Vocabulary Affordance Localization for Task Oriented Grasping
Edmond Tong, Advaith Balaji, Anthony Opipari, Stanley Lewis, Zhen Zeng, Odest Chadwicke Jenkins
ISER 2025
project page / video / arXiv

Utilizing large language models to associate affordances with specific parts of objects, and ground them using a VLM to generate task oriented grasp.

OVAL-Prompt OVAL-Prompt: Open-Vocabulary Affordance Localization for Robot Manipulation through LLM Affordance-Grounding
Edmond Tong, Anthony Opipari, Stanley Lewis, Zhen Zeng, Odest Chadwicke Jenkins
ICRA VLMNM Workshop, 2024
project page / video / arXiv

Utilizing large language models to associate affordances with specific parts of objects, thereby localizing them to facilitate manipulation.