Hello! I am Tran Nguyen Le.

Currently, I am a Postdoctoral Researcher at Intelligent Robotics Group at Aalto University, Finland with Prof. Ville Kyrki. I am interested in Robotic Grasping & Manipulation, Robot Learning, and Robotic Perception. My ultimate goal is to empower robots with the capability to autonomously and robustly perform human-like complex manipulation skills in human-centric environments such as homes and hospitals, in order to assist human in our daily life. -> -> ->

Recently, I serve as Associate Editor for IROS 2024 and co-organizer for a workshop at IROS 2024 on robotic manipulation.

I obtained my PhD from Aalto University (Finland) in 2024 on the topic of Robotic Grasping & Manipulation, supervised by Prof. Ville Kyrki. Before that, I received my B. Eng. focused on Automation Engineering (2017) from Häme University of Applied Sciences, Finland, and B. Eng. on Mechanical Engineering (2017) from VIA University College, Denmark. Then, I pursued an M.Sc. in Automation and Robotics (2019) from Tampere University, Finland.


Latest news


Feb 2024: I serve as an Associate Editor for IROS 2024.

Feb 2024: I was granted the Walter Ahlström Foundation grants (5000 Euros), to encourage the research of my PhD dissertation. (Note: 58 grants were awarded in total 207
applicants)

12th January 2024: I successfully defended my PhD dissertation titled “Harnessing the Physical Properties of Objects for Robotic Grasping and Manipulation“, together with Professor Roberto Calandra, acting as opponent. (Link to watch the defense)

December 2023: I am pleased to announce that we have been awarded the 3rd place for Aalto Open Science Award (Link) (Our interview). This award celebrates the remarkable work of Aalto community members who promote open science in their research or teaching.

October 2022: I am at IROS 22 in Kyoto (Japan), presenting our paper “A Novel Simulation-Based Quality Metric for Evaluating Grasps on 3D Deformable Objects”

May 2022: I am (virtually) at ICRA 22, presenting our paper “Deformation-Aware Data-Driven Grasp Synthesis”!

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