Research output per year
Research output per year
Personal profile
Profile
Accepting B.Sc and M.Sc Students
Tran is Assistant Professor of Robotics and Mechatronics in the Department of Engineering Technology and Didactics, Technical University of Denmark (DTU), Denmark. Currently he is serving as an Associate Editor for IEEE Robotics and Automation Letters (RA-L) and an Associate Editor for IROS 2024 & 2025.
Before joining DTU, he was a Postdoctoral Researcher at Intelligent Robotics Group at Aalto University, Finland with Prof. Ville Kyrki. He obtained his PhD from Aalto University (Finland) in 2024 on the topic of Robotic Grasping & Manipulation, supervised by Prof. Ville Kyrki.
His primary research interests are Robotic Grasping & Manipulation, Robot Learning, and Machine Learning. His 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.
Education/Academic qualification
Robotics and AI, Ph.D., Aalto University
1 Nov 2019 → 29 Jan 2024
Automation Engineering, Master of Science, Tampere University
1 Sept 2017 → 25 Sept 2019
Keywords
- User defined:
- Robotics
- Machine learning/AI
- robot vision
- Deep learning
- autonomous systems
- robotic manipulation
- robot learning
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
-
SDG 3 Good Health and Well-being -
SDG 4 Quality Education -
SDG 7 Affordable and Clean Energy -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
Fingerprint
Dive into the research topics where Tran Nguyen Le is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Adversarial Sensor Errors for Safe and Robust Wind Turbine Fleet Control
Quick, J., Nilsen, M. B., Bechmann, A., Le, T. N. & Réthoré, P.-E. M., 2026, Proceedings of The Science of Making Torque from Wind (TORQUE 2026): Wind farms and wakes. IOP Publishing, 11 p. 032080. (Journal of Physics: Conference Series; No. 3, Vol. 3224).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile47 Downloads (Orbit) -
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation
Nguyen, D. M., Diep, N. T., Nguyen, B. G., Ho, T.-B., Le, D., Nguyen, T. Q., Ha, T.-L., Tran, N., Thach, B., Tran, N. X., Tran, T. A., Habuda, A., Møller, P. L., Le, T. N., Sonntag, D., Niepert, M., Doan, K. D., Duong, V., Ngo, H. Q. & Vu, M. N. & 3 others, , 2026, (Accepted/In press) Proceedings of the 43rd International Conference on Machine Learning 2026. 34 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
Interactive Identification of Granular Materials using Force Measurements
Hynninen, S., Le, T. N. & Kyrki, V., 2026, Proceedings of 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, p. 3352-3359Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
-
Reinforcement learning-based optimal pitch-angle generation for energy-efficient tilt-rotor quadrotors
Eliker, K., Nguyen Le, T. & Bessaad, N., 2026, In: Control Engineering Practice. 171, 11 p., 106853.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile22 Downloads (Orbit) -
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
Nguyen, D. M. H., Tran, T. A., Nguyen, D., Xie, S., Nguyen, T. Q., Truong, M. T. N., Palenicek, D., Le, A. T., Barz, M., Hannus, E., Nguyen, T., Dam, T., Le, T., Le, N., Vu, M. N., Doan, K. D., Ngo, V., Xie, P., Zou, J. & Sonntag, D. & 2 others, , 2026, (Accepted/In press) Proceedings of the 43rd International Conference on Machine Learning 2026. 28 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review