Edmond Tong

I am currently pursuing a PhD in Robotics at Queensland University of Technology (QUT) under the supervision of Prof. Niko Sünderhauf and Prof. Jonathan Roberts. 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 am interested in advancing robotic capabilities by exploring novel visual and semantic representations derived from human video demonstrations. Specifically, my goal is to enable robots to learn complex, long-horizon manipulation policies by efficiently extracting generalized skills, object affordances, and sequential task logic from unstructured human-centric data, thereby allowing for robust policy generalization across diverse, real-world environments.

Email

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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.

Teaching

Graduate Student Instructor | University of Michigan, Ann Arbor, MI
ROB 502: Programming for Robotics (Fall 2023) | ROB 599: Deep Learning for Robotic Perception (Winter 2024)