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T. Duong

20 papers hereh-index 12800 citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author13

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.RO16
  • eess.SY4
same name
  • T. Duong — 67 papers, h 76
  • T. Duong — 11 papers, h 19
  • T. Duong — 11 papers, h 19
  • T. Duong — 6 papers
  • T. Duong — 6 papers, h 31
  • T. Duong — 5 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedOptimal Scene Graph Planning with Large Language Model Guidance

4 citations · 15 across the 20 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.RO2022★ 3 cited

Lie Group Forced Variational Integrator Networks for Learning and Control of Robot Systems

Valentin Duruisseaux, Thai Duong, Melvin Leok +1

Incorporating prior knowledge of physics laws and structural properties of dynamical systems into the design of deep learning architectures has proven to be a powerful technique fo…

eess.SY2022

LEMURS: Learning Distributed Multi-Robot Interactions

Eduardo Sebastian, Thai Duong, Nikolay Atanasov +2

This paper presents LEMURS, an algorithm for learning scalable multi-robot control policies from cooperative task demonstrations. We propose a port-Hamiltonian description of the m…

cs.RO2022

Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics

Zhichao Li, Thai Duong, Nikolay Atanasov

Stability and safety are critical properties for successful deployment of automatic control systems. As a motivating example, consider autonomous mobile robot navigation in a compl…

cs.RO2022

Physics-guided Learning-based Adaptive Control on the SE(3) Manifold

Thai Duong, Nikolay Atanasov

In real-world robotics applications, accurate models of robot dynamics are critical for safe and stable control in rapidly changing operational conditions. This motivates the use o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.