activity
20192025
most citedCollective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks

21 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025★ 2 cited

Fast Contact Detection via Fusion of Joint and Inertial Sensors for Parallel Robots in Human-Robot Collaboration

Aran Mohammad, Jan Piosik, Dustin Lehmann +2

Fast contact detection is crucial for safe human-robot collaboration. Observers based on proprioceptive information can be used for contact detection but have first-order error dyn…

cs.RO2024★ 4 cited

SPONGE: Open-Source Designs of Modular Articulated Soft Robots

Tim-Lukas Habich, Jonas Haack, Mehdi Belhadj +3

Soft-robot designs are manifold, but only a few are publicly available. Often, these are only briefly described in their publications. This complicates reproduction, and hinders th…

eess.SY2021★ 21 cited

Collective Iterative Learning Control: Exploiting Diversity in Multi-Agent Systems for Reference Tracking Tasks

Michael Meindl, Fabio Molinari, Dustin Lehmann +1

Multi-agent systems (MASs) can autonomously learn to solve previously unknown tasks by means of each agent's individual intelligence as well as by collaborating and exploiting coll…

eess.SY2020★ 19 cited

Magnetometer-free inertial motion tracking of arbitrary joints with range of motion constraints

Dustin Lehmann, Daniel Laidig, Raphael Deimel +1

In motion tracking of connected multi-body systems Inertial Measurement Units (IMUs) are used in a wide variety of applications, since they provide a low-cost easy-to-use method fo…

eess.SY2019

Joint axis estimation for fast and slow movements using weighted gyroscope and acceleration constraints

Fredrik Olsson, Thomas Seel, Dustin Lehmann +1

Sensor-to-segment calibration is a crucial step in inertial motion tracking. When two segments are connected by a hinge joint, for example in human knee and finger joints as well a…