284 citations · 1.2k across the 27 of their papers we have counts for
17 papers · 1 filter
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning
Mohak Bhardwaj, Thomas Lampe, Michael Neunert +6
Recent advances in real-world applications of reinforcement learning (RL) have relied on the ability to accurately simulate systems at scale. However, domains such as fluid dynamic…
Value constrained model-free continuous control
Steven Bohez, Abbas Abdolmaleki, Michael Neunert +3
The naive application of Reinforcement Learning algorithms to continuous control problems -- such as locomotion and manipulation -- often results in policies which rely on high-amp…
Nonlinear disturbance attenuation control of hydraulic robotics
Peng Lu, Timothy Sandy, Jonas Buchli
This paper presents a novel nonlinear disturbance rejection control for hydraulic robots. This method requires two third-order filters as well as inverse dynamics in order to estim…
ConFusion: Sensor Fusion for Complex Robotic Systems using Nonlinear Optimization
Timothy Sandy, Lukas Stadelmann, Simon Kerscher +1
We present ConFusion, an open-source package for online sensor fusion for robotic applications. ConFusion is a modular framework for fusing measurements from many heterogeneous sen…
A Projection Approach to Equality Constrained Iterative Linear Quadratic Optimal Control
Markus Giftthaler, Jonas Buchli
This paper presents a state and state-input constrained variant of the discrete-time iterative Linear Quadratic Regulator (iLQR) algorithm, with linear time-complexity in the numbe…
The Control Toolbox - An Open-Source C++ Library for Robotics, Optimal and Model Predictive Control
Markus Giftthaler, Michael Neunert, Markus Stäuble +1
We introduce the Control Toolbox (CT), an open-source C++ library for efficient modeling, control, estimation, trajectory optimization and Model Predictive Control. The CT is appli…
Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds
Michael Neunert, Markus Stäuble, Markus Giftthaler +5
In this work we present a whole-body Nonlinear Model Predictive Control approach for Rigid Body Systems subject to contacts. We use a full dynamic system model which also includes…
Real-Time Motion Planning of Legged Robots: A Model Predictive Control Approach
Farbod Farshidian, Edo Jelavić, Asutosh Satapathy +2
We introduce a real-time, constrained, nonlinear Model Predictive Control for the motion planning of legged robots. The proposed approach uses a constrained optimal control algorit…
Automatic Differentiation of Rigid Body Dynamics for Optimal Control and Estimation
Markus Giftthaler, Michael Neunert, Markus Stäuble +3
Many algorithms for control, optimization and estimation in robotics depend on derivatives of the underlying system dynamics, e.g. to compute linearizations, sensitivities or gradi…
Fast Trajectory Optimization for Legged Robots using Vertex-based ZMP Constraints
Alexander W Winkler, Farbod Farshidian, Diego Pardo +2
This paper combines the fast Zero-Moment-Point (ZMP) approaches that work well in practice with the broader range of capabilities of a Trajectory Optimization formulation, by optim…
Robust Whole-Body Motion Control of Legged Robots
Farbod Farshidian, Edo Jelavić, Alexander W. Winkler +1
We introduce a robust control architecture for the whole-body motion control of torque controlled robots with arms and legs. The method is based on the robust control of contact fo…
Mobile Robotic Fabrication at 1:1 scale: the In situ Fabricator
Markus Giftthaler, Timothy Sandy, Kathrin Dörfler +6
This paper presents the concept of an In situ Fabricator, a mobile robot intended for on-site manufacturing, assembly and digital fabrication. We present an overview of a prototype…
Efficient Kinematic Planning for Mobile Manipulators with Non-holonomic Constraints Using Optimal Control
Markus Giftthaler, Farbod Farshidian, Timothy Sandy +2
This work addresses the problem of kinematic trajectory planning for mobile manipulators with non-holonomic constraints, and holonomic operational-space tracking constraints. We ob…
Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds
Michael Neunert, Farbod Farshidian, Alexander W. Winkler +1
In this work we present a trajectory Optimization framework for whole-body motion planning through contacts. We demonstrate how the proposed approach can be applied to automaticall…
Projection based whole body motion planning for legged robots
Diego Pardo, Michael Neunert, Alexander W. Winkler +1
In this paper we present a new approach for dynamic motion planning for legged robots. We formulate a trajectory optimization problem based on a compact form of the robot dynamics.…
An Open Source, Fiducial Based, Visual-Inertial Motion Capture System
Michael Neunert, Michael Bloesch, Jonas Buchli
Many robotic tasks rely on the accurate localization of moving objects within a given workspace. This information about the objects' poses and velocities are used for control,motio…
A Domain Specific Language for kinematic models and fast implementations of robot dynamics algorithms
Marco Frigerio, Jonas Buchli, Darwin G. Caldwell
Rigid body dynamics algorithms play a crucial role in several components of a robot controller and simulations. Real time constraints in high frequency control loops and time requi…