Vu Nhat Minh, PhD

• Reinforcement learning for loco-manipulation
• Real-time optimal trajectory optimization
• VLA/VLM for robotic grasping/manipulation
• Optimal control

Journals

• Lagrangian-based modeling and safety-critical controls for Stewart platforms under marine operations. DC Vu, DH Nguyen, MN Vu, TL Nguyen,. Ocean Engineering. (2025)
• Global kinodynamic motion planning for an underactuated timber crane with stochastic trajectory optimization MP Ecker, B Bischof, MN Vu, C Fröhlich, T Glück, W Kemmetmüller. Mechatronics (2025)
• Language-driven closed-loop grasping with model-predictive trajectory optimization HH Nguyen, MN Vu*, F Beck, G Ebmer, A Nguyen, W Kemmetmüller,  A. Kugi Mechatronics (2025)
• Model Tensor Planning.  AT Le, K Nguyen, MN Vu, J Carvalho, J Peters. Transactions on Machine Learning Research (TMLR) (2025)
• Model Predictive Trajectory Optimization With Dynamically Changing Waypoints for Serial Manipulators. F Beck, MN Vu, C Hartl-Nesic, A Kugi. IEEE Robotics and Automation Letters (RA-L) (2024)
• Safe Trajectory Optimization and Efficient-Offline Robust Model Predictive Control for Autonomous Vehicle Lane Change (IEEE T-IV, 2022)
• Fast trajectory planning and control of a lab-scale 3D gantry crane for a moving target in an environment with obstacles (Control Engineering Practice, 2022)
• Machine learning-based framework for optimally solving the analytical inverse kinematics for redundant manipulators (Mechatronics, 2023)

Conference papers

• Towards Autonomous Wood-Log Grasping with a Forestry Crane: Simulator and Benchmarking (ICRA 2025)
• Online Trajectory Replanner for Dynamically Grasping Irregular Objects (ICRA 2025)
• Robotic-CLIP: Fine-tuning CLIP on Action Data for Robotic Applications (ICRA 2025)
• GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning (IROS 2025)
• Action Tokenizer Matters in In-Context Imitation Learning (IROS 2025)
• Flowmp: Learning motion fields for robot planning with conditional flow matching (IROS 2025)
• EgoMusic-driven Human Dance Motion Estimation with Skeleton Mamba (ICCV 2025)
• Learning Human Motion with Temporally Conditional Mamba (Siggraph Asia 2025)
• Grasp-anything: Large-scale grasp dataset from foundation models (ICRA, 2024)
• HabiCrowd: A High-Performance Simulator for Crowd-Aware Visual Navigation (IROS, 2024)
• ProSIP: Probabilistic Surface Interaction Primitives for Robotic Cleaning of Edges (IROS, 2024) – Best Application Paper Award
• Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance (ECCV 2024)
• Language-driven grasp detection (CVPR 2024)
• Open-vocabulary Affordance Detection in 3D Point Clouds (IROS, 2023) – Best Overall Paper Finalist
• Language-driven Scene Synthesis using Multi-conditional Diffusion Model (NeurIPS, 2023)

• Ph.D. in Electrical & Informatics, TU Wien, Vienna, Austria (2018–2023) – Summa cum laude
• M.Sc. in HCI & Robotics, Korea Institute of Science and Technology (KIST), Seoul, South Korea (2015–2017) – First class
• B.Sc. in Control and Automation Engineering, Ho Chi Minh City University of Technology, Vietnam (2010–2015) – Honor Program

• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024): Best application paper award (Winner)
• IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2023): Best overall paper award (Finalist)
• IEEE  International Conference on Robotics and Automation (ICRA 2024): Best reviewer award
• IEEE Robotics and Automation Letters (RA-L 2024), Best reviewer award