4 accepted papers
In this paper, we present a novel online global reactive motion planner that synergizes the benefits of reactive control and model predictive control (MPC). By applying circular fields, the planner significantly simplifies the problem of determining control inputs for mobile robots and manipulators,
The rise of autonomous driving in everyday life makes efficient and collision-free motion planning more important than ever. However, multi robot applications in highly dynamic environments still pose hard challenges for state-of-the-art motion planners. In this paper, we present a new iteration of…
Safe and efficient trajectory planning for autonomous robots is becoming increasingly important in both industrial applications and everyday life. The demands on a robot which has to react quickly and precisely to changes in cluttered, unknown and dynamic environments are particularly high. Towards
Close physical human-robot interaction makes it essential to ensure human safety. In particular, the intrinsic safety characteristics of a robot in terms of potential human injury have to be understood well. Then, minimal potential harm can be made a key requirement already at an early stage of the