5 citations · 7 across the 5 of their papers we have counts for
5 papers
Learned Incremental Nonlinear Dynamic Inversion for Quadrotors with and without Slung Payloads
Eckart Cobo-Briesewitz, Khaled Wahba, Wolfgang Hönig
The increasing complexity of multirotor applications demands flight controllers that can accurately account for all forces acting on the vehicle. Conventional controllers model mos…
GSRM: Building Roadmaps for Query-Efficient and Near-Optimal Path Planning Using a Reaction Diffusion System
Christian Henkel, Marc Toussaint, Wolfgang Hönig
Mobile robots frequently navigate on roadmaps, i.e., graphs where edges represent safe motions, in applications such as healthcare, hospitality, and warehouse automation. Often the…
db-CBS: Discontinuity-Bounded Conflict-Based Search for Multi-Robot Kinodynamic Motion Planning
Akmaral Moldagalieva, Joaquim Ortiz-Haro, Wolfgang Hönig
This paper presents a multi-robot kinodynamic motion planner that enables a team of robots with different dynamics, actuation limits, and shapes to reach their goals in challenging…
Comparison of Optimization-Based Methods for Energy-Optimal Quadrotor Motion Planning
Welf Rehberg, Joaquim Ortiz-Haro, Marc Toussaint +1
Quadrotors are agile flying robots that are challenging to control. Considering the full dynamics of quadrotors during motion planning is crucial to achieving good solution quality…
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions
Guanya Shi, Wolfgang Hönig, Xichen Shi +2
We present Neural-Swarm2, a learning-based method for motion planning and control that allows heterogeneous multirotors in a swarm to safely fly in close proximity. Such operation…