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ORCIDAn T. Le 0001
Person information
- affiliation: TU Darmstadt, Germany
- affiliation (former): University of Stuttgart, Germany
- affiliation (former): Vietnamese-German University, Faculty of Engineering, Ho Chi Minh City, Vietnam
Other persons with the same name
- An T. Le
- An T. Le 0002 — University of Colorado Boulder, Department of Computer Science, CO, USA
- An T. Le 0003 — University of South Florida, Tampa, FL, USA
- An T. Le 0004 — Hanoi University of Science and Technology, School of Information and Communication Technology, Vietnam
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2020 – today
- 2026
[j6]Khang Nguyen
, An T. Le, Jan Peters, Minh Nhat Vu:
DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion. IEEE Robotics Autom. Lett. 11(2): 2162-2169 (2026)- [c13]João Carvalho, An Thai Le, Piotr Kicki, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint). AAAI 2026: 39858 - [i32]An T. Le:
On the rarity of rocket-driven Penrose extraction in Kerr spacetime. CoRR abs/2601.19616 (2026) - [i31]An T. Le:
Observer-robust energy condition verification for warp drive spacetimes. CoRR abs/2602.18023 (2026) - [i30]Duy M. H. Nguyen, Tuan A. Tran, Duong Nguyen, Siwei Xie, Trung Q. Nguyen, Mai T. N. Truong, Daniel Palenicek, An T. Le, Michael Barz, TrungTin Nguyen, Tuan Dam, Ngan Le, Minh Vu, Khoa D. Doan, Ngo Anh Vien, Pengtao Xie, James Zou, Daniel Sonntag, Jan Peters, Mathias Niepert:
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models. CoRR abs/2603.07307 (2026) - [i29]Tuan Van Vo, Tan Q. Nguyen, Khang Nguyen, Nhat Xuan Tran, Duy H. M. Nguyen, An T. Le, Ngo Anh Vien, Minh Nhat Vu:
ReFineVLA: Multimodal Reasoning-Aware Generalist Robotic Policies via Teacher-Guided Fine-Tuning. CoRR abs/2604.17800 (2026) - [i28]An T. Le, Vien Ngo:
AAC: Admissible-by-Architecture Differentiable Landmark Compression for ALT. CoRR abs/2604.20744 (2026) - [i27]An T. Le:
Training Non-Differentiable Networks via Optimal Transport. CoRR abs/2605.01928 (2026) - [i26]Duc Minh Nguyen, Bao-Ngoc Dao, Tung M. Luu, Binh Gia Nguyen, Vinh Tong, Anji Liu, Vu N. Duong, Dung D. Le, Daniel Sonntag, Trung Le, Ngan Le, Jan Peters, An Thai Le, Minh Nhat Vu, Mathias Niepert, Khoa D. Doan, Duy M. H. Nguyen, Ngo Anh Vien:
Self-Improving VLA Policies: Selected Diffusion Noise for Spurious-Robust Action Smoothing. CoRR abs/2606.14084 (2026) - [i25]Trong-Bao Ho, Quang-Tan Nguyen, Thien-Loc Ha, Gia-Binh Nguyen, Viet-Thanh Nguyen, Long Dinh, Minh N. Vu, Duy M. H. Nguyen, An Thai Le, Ngo Anh Vien:
Start Right, Arrive Right: Asynchronous Execution via Initial Noise Selection. CoRR abs/2606.19774 (2026) - [i24]Thien-Loc Ha, Quang-Tan Nguyen, Trong-Bao Ho, Long Dinh, Minh Duc Nguyen, Gia-Binh Nguyen, Pham Tri Quang, Minh N. Vu, Duy M. H. Nguyen, An Thai Le, Ngo Anh Vien:
EquiVLA: A General Framework for Rotationally Equivariant Vision-Language-Action Models. CoRR abs/2606.19784 (2026) - [i23]Gia-Binh Nguyen, Trong-Bao Ho, Thien-Loc Ha, Khoa Vo, Philip Lund Møller, Quang T. Nguyen, Long Dinh, Tung M. Luu, Tuan Dam, Vu Duong, Trung Le, Nghi D. Q. Bui, Minh Vu, Tran Nguyen Le, An Thai Le, Ngan Le, Daniel Sonntag, James Zou, Jan Peters, Duy M. H. Nguyen, Ngo Anh Vien:
Finetuning Vision-Language-Action Models Requires Fewer Layers Than You Think. CoRR abs/2606.20246 (2026) - [i22]Magnus Dierking, Joao Carvalho, An Thai Le, Georgia Chalvatzaki, Jan Peters:
Real-World Deployment of Massively Parallel Sampling-Based MPC for Contact-Rich Manipulation. CoRR abs/2606.20712 (2026) - [i21]Duc Minh Nguyen, Nghiem Tuong Diep, Binh Gia Nguyen, Trong-Bao Ho, Doanh Le, Tan Q. Nguyen, Thien-Loc Ha, Nhiem Tran, Bao Thach, Nhat X. Tran, Tuan A. Tran, Artur Habuda, Philip Lund Møller, Tran Nguyen Le, Daniel Sonntag, Mathias Niepert, Khoa D. Doan, Vu Duong, Hung Ngo, Minh N. Vu, Duy M. H. Nguyen, An Thai Le, Ngo Anh Vien:
FOCA: Future-Oriented Conditioning for Data-Efficient Vision-Language-Action Adaptation. CoRR abs/2606.20867 (2026) - [i20]Minh-Loi Nguyen, Nghiem Tuong Diep, Hung Khang Nguyen, Minh Le, Doanh Le Thien, Hoang H. Tran, Dung D. Le, Vu N. Duong, Daniel Sonntag, An Thai Le, Duy Minh Ho Nguyen, Ngo Anh Vien, Tran Van Nhiem:
RoboGaze: Evaluating Robot World Models via Structured Vision-Language Analysis. CoRR abs/2606.28385 (2026) - 2025
- [b1]An T. Le:
Tensor Search Methods For Vectorizing Motion Planning. Technical University of Darmstadt, Germany, 2025 - [j5]An T. Le, Kay Pompetzki, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters:
Global Tensor Motion Planning. IEEE Robotics Autom. Lett. 10(7): 7302-7309 (2025) - [j4]An Thai Le, Khai Nguyen, Minh Nhat Vu, Joao Carvalho, Jan Peters:
Model Tensor Planning. Trans. Mach. Learn. Res. 2025 (2025) - [j3]Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An Thai Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann:
Machine Learning with Physics Knowledge for Prediction: A Survey. Trans. Mach. Learn. Res. 2025 (2025) - [j2]João Carvalho, An T. Le, Piotr Kicki, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning With Diffusion Models. IEEE Trans. Robotics 41: 4881-4901 (2025) - [c12]Khang Nguyen, An T. Le, Tien Pham, Manfred Huber, Jan Peters, Minh Nhat Vu:
FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching. IROS 2025: 11291-11297 - [i19]Khang Nguyen, An T. Le, Tien Pham, Manfred Huber, Jan Peters, Minh Nhat Vu:
FlowMP: Learning Motion Fields for Robot Planning with Conditional Flow Matching. CoRR abs/2503.06135 (2025) - [i18]Viet The Nguyen, Duy Anh Pham, An Thai Le, Jans Peter, Gunther Gust:
Persistent Homology-induced Graph Ensembles for Time Series Regressions. CoRR abs/2503.14240 (2025) - [i17]Jiayun Li, Kay Pompetzki, An T. Le, Haolei Tong, Jan Peters, Georgia Chalvatzaki:
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference. CoRR abs/2504.04936 (2025) - [i16]An T. Le, Khai Nguyen, Minh Nhat Vu, João Carvalho, Jan Peters:
Model Tensor Planning. CoRR abs/2505.01059 (2025) - [i15]Khang Nguyen, Khai Nguyen, An T. Le, Jan Peters, Manfred Huber, Ngo Anh Vien, Minh Nhat Vu:
TD-GRPC: Temporal Difference Learning with Group Relative Policy Constraint for Humanoid Locomotion. CoRR abs/2505.13549 (2025) - [i14]Khang Nguyen, An T. Le, Jan Peters, Minh Nhat Vu:
DoublyAware: Dual Planning and Policy Awareness for Temporal Difference Learning in Humanoid Locomotion. CoRR abs/2506.12095 (2025) - 2024
- [c11]Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. ACML 2024: 687-702 - [c10]Duy Minh Ho Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert:
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. ICML 2024: 37736-37760 - [i13]Duy M. H. Nguyen, Nina Lukashina, Tai Nguyen, An T. Le, TrungTin Nguyen, Nhat Ho, Jan Peters, Daniel Sonntag, Viktor Zaverkin, Mathias Niepert:
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks. CoRR abs/2402.01975 (2024) - [i12]Duy M. H. Nguyen, An T. Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag:
Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model. CoRR abs/2407.04489 (2024) - [i11]Joe Watson, Chen Song, Oliver Weeger, Theo Gruner, An T. Le, Kay Hansel, Ahmed Hendawy, Oleg Arenz, Will Trojak, Miles D. Cranmer, Carlo D'Eramo, Fabian Bülow, Tanmay Goyal, Jan Peters, Martin W. Hoffmann:
Machine Learning with Physics Knowledge for Prediction: A Survey. CoRR abs/2408.09840 (2024) - [i10]An T. Le, Kay Hansel, João Carvalho, Joe Watson, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters:
Global Tensor Motion Planning. CoRR abs/2411.19393 (2024) - [i9]Joao Carvalho, An T. Le, Philipp Jahr, Qiao Sun, Julen Urain, Dorothea Koert, Jan Peters:
Grasp Diffusion Network: Learning Grasp Generators from Partial Point Clouds with Diffusion Models in SO(3)xR3. CoRR abs/2412.08398 (2024) - [i8]João Carvalho, An T. Le, Piotr Kicki, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models. CoRR abs/2412.19948 (2024) - 2023
- [j1]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
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 10 (2023) - [c9]João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. IROS 2023: 1916-1923 - [c8]An T. Le, Kay Hansel, Jan Peters, Georgia Chalvatzaki:
Hierarchical Policy Blending As Optimal Transport. L4DC 2023: 797-812 - [c7]An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters:
Accelerating Motion Planning via Optimal Transport. NeurIPS 2023 - [i7]Georgia Chalvatzaki, Ali Younes, Daljeet Nandha, An T. Le, Leonardo F. R. Ribeiro, Iryna Gurevych:
Learning to Reason over Scene Graphs: A Case Study of Finetuning GPT-2 into a Robot Language Model for Grounded Task Planning. CoRR abs/2305.07716 (2023) - [i6]João Carvalho, An T. Le, Mark Baierl, Dorothea Koert, Jan Peters:
Motion Planning Diffusion: Learning and Planning of Robot Motions with Diffusion Models. CoRR abs/2308.01557 (2023) - [i5]An T. Le, Georgia Chalvatzaki, Armin Biess, Jan Peters:
Accelerating Motion Planning via Optimal Transport. CoRR abs/2309.15970 (2023) - 2022
- [c6]Julen Urain, An T. Le, Alexander Lambert, Georgia Chalvatzaki, Byron Boots, Jan Peters:
Learning Implicit Priors for Motion Optimization. IROS 2022: 7672-7679 - [i4]Alexander Lambert, An T. Le, Julen Urain, Georgia Chalvatzaki, Byron Boots, Jan Peters:
Learning Implicit Priors for Motion Optimization. CoRR abs/2204.05369 (2022) - [i3]An T. Le, Kay Hansel, Jan Peters, Georgia Chalvatzaki:
Hierarchical Policy Blending As Optimal Transport. CoRR abs/2212.01938 (2022) - 2021
- [c5]An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. IROS 2021: 7770-7777 - [c4]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. RO-MAN 2021: 7-14 - [i2]An T. Le, Philipp Kratzer, Simon Hagenmayer, Marc Toussaint, Jim Mainprice:
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks. CoRR abs/2104.08137 (2021) - [i1]An T. Le, Meng Guo, Niels van Duijkeren, Leonel Dario Rozo, Robert Krug, Andras G. Kupcsik, Mathias Bürger:
Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations. CoRR abs/2109.04222 (2021)
2010 – 2019
- 2017
- [c3]Than D. Le, An T. Le, Duy T. Nguyen:
Model-based Q-learning for humanoid robots. ICAR 2017: 608-613 - [c2]An T. Le, Minh Q. Bui, Than D. Le, Peter Nauth:
D* Lite with Reset: Improved Version of D* Lite for Complex Environment. IRC 2017: 160-163 - [c1]Quan H. Nguyen, Trinh N. P. Tran, Dung D. Huynh, An T. Le, Than D. Le:
Real-Time Localization and Tracking System with Multiple-Angle Views for Human Robot Interaction. IRC 2017: 316-319
Coauthor Index
aka: Duy Minh Ho Nguyen
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