Adnan Ademovic

Papers

Total Citations

H-Index

About

Adnan Ademovic is a roboticist whose work centers on path planning for robotic manipulators, with a particular focus on leveraging the geometry of free configuration space (C-space) to enable efficient, collision-free motion. His core contribution is the development of the "bur of free C-space," a novel structure that extends the concept of a "bubble"—a local, easily computed volume of free space—into a more powerful representation for global path planning. This innovation, detailed in his most-cited paper (22 citations), allows robots to navigate complex environments by expanding these volumetric bubbles, effectively growing trees of safe configurations. Ademovic’s research bridges computational geometry and evolutionary algorithms, as seen in his work on using bubbles within an RRT (Rapidly-exploring Random Tree) framework and an evolutionary approach, demonstrating that volumetric information can dramatically simplify the search for valid paths. With a cumulative citation count of 39 across his key papers, his work is foundational for researchers tackling the challenge of high-dimensional C-space exploration. Ademovic’s methods are particularly valuable for industrial manipulators, where real-time, obstacle-aware motion is critical. His legacy lies in transforming abstract C-space data into practical, scalable tools for autonomous robotics.