Nils Wilde
About
Nils’ research focuses on algorithms for complex problems in robot motion planning and multi-robot coordination in uncertain and dynamic environments. Further his work includes the design of interactive frameworks that allow robots to learn from human input to enable inexperienced users to efficiently deploy autonomous systems. The developed methods combine techniques from learning, optimization, control and algorithm design, bridging theoretical foundations with real-world applications where robots address urgent social, economical and ecological challenges. Systems include mobile robot platforms, aerial robots, and multi-robot systems, and their close interaction with humans.
Note to prospective students
I am always looking for talented, self-motivated lab members at all levels (undergrad, graduate and postdoc), even when no current openings are listed below. A background in robotics, control, optimization, AI, ML or HCI is desired, as well as a strong interest in robot motion planning, human-robot interaction or multi-robot systems.