An T. Le

Orcid: 0000-0003-0929-3316

Affiliations:
  • TU Darmstadt, Germany
  • University of Stuttgart, Germany (former)
  • Vietnamese-German University, Faculty of Engineering, Ho Chi Minh City, Vietnam (former)


According to our database1, An T. Le authored at least 23 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Global Tensor Motion Planning.
IEEE Robotics Autom. Lett., July, 2025

DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion.
CoRR, June, 2025

TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion.
CoRR, May, 2025

Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference.
CoRR, April, 2025

Persistent Homology-induced Graph Ensembles for Time Series Regressions.
CoRR, March, 2025

FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching.
CoRR, March, 2025

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models.
IEEE Trans. Robotics, 2025

Machine Learning with Physics Knowledge for Prediction: A Survey.
Trans. Mach. Learn. Res., 2025

Model Tensor Planning.
Trans. Mach. Learn. Res., 2025

2024
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3.
CoRR, 2024

Global Tensor Motion Planning.
CoRR, 2024

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model.
Proceedings of the Asian Conference on Machine Learning, 2024

2023
Learning to reason over scene graphs: a case study of finetuning GPT-2 into a robot language model for grounded task planning.
Frontiers Robotics AI, February, 2023

Accelerating Motion Planning via Optimal Transport.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Hierarchical Policy Blending As Optimal Transport.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models.
IROS, 2023

2022
Learning Implicit Priors for Motion Optimization.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2017
Real-Time Localization and Tracking System with Multiple-Angle Views for Human Robot Interaction.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

D* Lite with Reset: Improved Version of D* Lite for Complex Environment.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017

Model-based Q-learning for humanoid robots.
Proceedings of the 18th International Conference on Advanced Robotics, 2017


  Loading...