Niels Van Duijkeren | DeepAI

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∙ 04/20/2023

The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing

Robotic manipulation is currently undergoing a profound paradigm shift d...

0 Leonel Rozo, et al. ∙

∙ 05/27/2022

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control

It is well-known that inverse dynamics models can improve tracking perfo...

0 Moritz Reuss, et al. ∙

∙ 10/11/2021

A caster-wheel-aware MPC-based motion planner for mobile robotics

Differential drive mobile robots often use one or more caster wheels for...

0 Jon Arrizabalaga, et al. ∙

∙ 09/09/2021

Learning Forceful Manipulation Skills from Multi-modal Human Demonstrations

Learning from Demonstration (LfD) provides an intuitive and fast approac...

0 An T. Le, et al. ∙

∙ 10/20/2020

Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning

Estimating accurate forward and inverse dynamics models is a crucial com...

14 Vaisakh Shaj, et al. ∙

∙ 10/11/2020

A Feedback Scheme to Reorder a Multi-Agent Execution Schedule by Persistently Optimizing a Switchable Action Dependency Graph

In this paper we consider multiple Automated Guided Vehicles (AGVs) navi...

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