A. Scheuer

About

A. Scheuer is a robotics researcher whose work has made significant contributions to the field of autonomous mobile robot navigation, with a particular focus on path and trajectory planning for car-like and non-holonomic robots. Scheuer's most influential research addresses a fundamental challenge in robotics: enabling wheeled vehicles to navigate smoothly and efficiently through complex environments without the need to stop mid-path. By developing continuous-curvature path planning methods — most notably through the introduction of bi-elementary paths and the Continuous-Curvature Path Planner (CCPP) — Scheuer moved beyond the limitations of traditional planners that relied on discontinuous curvature profiles composed of circular arcs and line segments. These innovations allow real vehicles to follow planned paths precisely and without interruption, a critical requirement for practical deployment. With key papers accumulating over 75–95 citations each, Scheuer's contributions have proven highly influential among robotics researchers. Additional work on sensor-based control architectures and motion planning in dynamic environments with moving obstacles further demonstrates the breadth of Scheuer's expertise, making this body of research essential reading for anyone working in autonomous vehicle navigation or non-holonomic motion planning.

Research Focus

Key Achievements

Top Papers

1. 1
   Planning sub-optimal and continuous-curvature paths for car-like robots

   95 citations · 2002
2. 2
   Planning continuous-curvature paths for car-like robots

   83 citations · 2002
3. 3
   Collision-free and continuous-curvature path planning for car-like robots

   76 citations · 2002
4. 4
   Sensor-Based Control Architecture for a Car-Like Vehicle

   65 citations · 1999
5. 5
   Car-like robots and moving obstacles

   31 citations · 2002
6. 6
   Continuous-curvature trajectory planning for manoeuvrable non-holonomic robots

   10 citations · 2003

Key Collaborators

Contact & Links