1.5k citations · 3.3k across the 27 of their papers we have counts for
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A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
Abel Gawel, Hermann Blum, Johannes Pankert +9
We present a fully-integrated sensing and control system which enables mobile manipulator robots to execute building tasks with millimeter-scale accuracy on building construction s…
Deep Value Model Predictive Control
Farbod Farshidian, David Hoeller, Marco Hutter
In this paper, we introduce an actor-critic algorithm called Deep Value Model Predictive Control (DMPC), which combines model-based trajectory optimization with value function esti…
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
Vassilios Tsounis, Mitja Alge, Joonho Lee +2
This paper addresses the problem of legged locomotion in non-flat terrain. As legged robots such as quadrupeds are to be deployed in terrains with geometries which are difficult to…
Rolling in the Deep -- Hybrid Locomotion for Wheeled-Legged Robots using Online Trajectory Optimization
Marko Bjelonic, Prajish K. Sankar, C. Dario Bellicoso +2
Wheeled-legged robots have the potential for highly agile and versatile locomotion. The combination of legs and wheels might be a solution for any real-world application requiring…
MPC-Net: A First Principles Guided Policy Search
Jan Carius, Farbod Farshidian, Marco Hutter
We present an Imitation Learning approach for the control of dynamical systems with a known model. Our policy search method is guided by solutions from MPC. Typical policy search m…
Feedback MPC for Torque-Controlled Legged Robots
Ruben Grandia, Farbod Farshidian, René Ranftl +1
The computational power of mobile robots is currently insufficient to achieve torque level whole-body Model Predictive Control (MPC) at the update rates required for complex dynami…