research
∙
12/07/2021
Bridging the Model-Reality Gap with Lipschitz Network Adaptation
As robots venture into the real world, they are subject to unmodeled dyn...
share
research
∙
03/17/2020
Catch the Ball: Accurate High-Speed Motions for Mobile Manipulators via Inverse Dynamics Learning
Mobile manipulators consist of a mobile platform equipped with one or mo...
research
∙
07/13/2018
Adaptive Model Predictive Control for High-Accuracy Trajectory Tracking in Changing Conditions
Robots and automated systems are being introduced to unknown and dynamic...
research
∙
07/13/2018
