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The Future of Robotics: Dr. Nguyen presents breakthrough optimization techniques!
On July 1, 2025, Dr. Ngoc Thinh Nguyen gave an inaugural lecture on optimization in robotics and autonomous systems at the University of Lübeck.
The Future of Robotics: Dr. Nguyen presents breakthrough optimization techniques!
On July 1, 2025, the University of Lübeck will host the inaugural lecture by Dr. Ngoc Thinh Nguyen in the AM4 lecture hall. The lecture entitled “Recent Applications of Optimization Techniques in Robotics and Autonomous Systems” begins at 5 p.m. c.t. and focuses on advanced optimization methods within robotics.
The event aims to increase the intelligence, safety and efficiency of autonomous systems. Dr. Nguyen will highlight various application areas, including robot design, reference trajectory planning and control. The lecture is part of his habilitation in the field of robotics and automation at the university.
Research priorities and challenges
A central theme of the presentation will be improving the accessibility of robots, including the development of application-specific tool geometries, such as for medical ultrasound examinations. The second part of the lecture focuses on generating optimal and safe trajectories for mobile robots in complex environments using B-spline curves.
An important aspect of current research is ensuring the robust stability and operational reliability of dynamic systems such as drones and autonomous vehicles. Current challenges include the solvability of complex optimization problems as well as the requirements for real-time capability, which are becoming increasingly important.
Increasing demand for agile robot systems
The demand for reliable path planning algorithms has increased. The area of robot motion planning is considered an extensively researched field in which various solutions exist. However, real-time calculations for collision-free trajectories remain challenging, especially in industrial applications such as assembly or pick-and-place where recurring movements occur in similar scenarios.
A notable development is that the entire trajectory does not always have to be recalculated when start and destination positions change within predefined subspaces. Efficient solutions for real-time applications are based on physical models and advanced optimization methods and are evaluated through simulations and experiments.
| Concepts for trajectory planning |
|---|
| 1. Informed RRT* algorithm to create trajectory trees that can be reused for replanning. |
| 2. Integration of a local scheduler based on an LQTM algorithm and branch-and-bound method to increase efficiency. |
Simulations show that these concepts can generate almost time-optimal and collision-free trajectories. Particular attention is paid to the offline phase, which creates a trajectory database with optimized trajectories, while the online phase enables the real-time generation of optimal trajectories.
In addition, a trajectory follower controller uses dynamic restrictions and disturbances to stabilize the planned trajectories. The innovation is not only limited to specific applications, but can also be transferred to other robot systems.
A look at the future of robotics
The challenges facing robotics are complex. Aspects such as human-machine interaction, media such as AR/VR for robot control and medical robotics are central topics of current research. Technological progress in areas such as humanoid robotics shows promising approaches to integrating AI, computer science and mechatronics.
Solutions for real-time trajectory generation and collision-free movement planning are becoming increasingly relevant, particularly in the area of industrially robust logistics systems. The automation of production and the concept of autonomous vehicles are also part of the ongoing developments. Weighing up ethical, legal and social implications remains an essential part of research.
The upcoming inaugural lecture by Dr. Ngoc Thinh Nguyen promises to provide exciting insight into these advanced facets of robotics, bringing together both academic and practitioner stakeholders to shape the future of these technologies.