Learning of closed-loop motion control. - Farbod Farshidian; Michael Neunert; Jonas Buchli (IROS, 2014)

Unified motion control for dynamic quadrotor maneuvers demonstrated on slung load and rotor failure tasks. - Cedric de Crousaz; Farbod Farshidian; Michael Neunert; Jonas Buchli (ICRA, 2015)

An Open Source, Fiducial Based, Visual-Inertial State Estimation System. - Michael Neunert; Michael Blösch; Jonas Buchli (CoRR, 2015)

Projection based whole body motion planning for legged robots. - Diego Pardo; Michael Neunert; Alexander W. Winkler; Jonas Buchli (CoRR, 2015)

An open source, fiducial based, visual-inertial motion capture system. - Michael Neunert; Michael Bloesch; Jonas Buchli (FUSION, 2016)

Efficient whole-body trajectory optimization using contact constraint relaxation. - Michael Neunert; Farbod Farshidian; Jonas Buchli (Humanoids, 2016)

Fast nonlinear Model Predictive Control for unified trajectory optimization and tracking. - Michael Neunert; Cedric de Crousaz; Fadri Furrer; Mina Kamel; Farbod Farshidian; Roland Siegwart; Jonas Buchli (ICRA, 2016)

Fast derivatives of rigid body dynamics for control, optimization and estimation. - Michael Neunert; Markus Giftthaler; Marco Frigerio; Claudio Semini; Jonas Buchli (SIMPAR, 2016)

Evaluating Direct Transcription and Nonlinear Optimization Methods for Robot Motion Planning. - Diego Pardo; Lukas Möller; Michael Neunert; Alexander W. Winkler; Jonas Buchli (IEEE Robotics Autom. Lett., 2016)

An efficient optimal planning and control framework for quadrupedal locomotion. - Farbod Farshidian; Michael Neunert; Alexander W. Winkler; Gonzalo Rey; Jonas Buchli (ICRA, 2017)

Online walking motion and foothold optimization for quadruped locomotion. - Alexander W. Winkler; Farbod Farshidian; Michael Neunert; Diego Pardo; Jonas Buchli (ICRA, 2017)

Hybrid direct collocation and control in the constraint-consistent subspace for dynamic legged robot locomotion. - Diego Pardo; Michael Neunert; Alexander W. Winkler; Ruben Grandia; Jonas Buchli (Robotics: Science and Systems, 2017)

Automatic differentiation of rigid body dynamics for optimal control and estimation. - Markus Giftthaler; Michael Neunert; Markus Stäuble; Marco Frigerio; Claudio Semini; Jonas Buchli (Adv. Robotics, 2017)

Trajectory Optimization Through Contacts and Automatic Gait Discovery for Quadrupeds. - Michael Neunert; Farbod Farshidian; Alexander W. Winkler; Jonas Buchli (IEEE Robotics Autom. Lett., 2017)

Fast Trajectory Optimization for Legged Robots Using Vertex-Based ZMP Constraints. - Alexander W. Winkler; Farbod Farshidian; Diego Pardo; Michael Neunert; Jonas Buchli (IEEE Robotics Autom. Lett., 2017)

Learning by Playing Solving Sparse Reward Tasks from Scratch. - Martin A. Riedmiller; Roland Hafner; Thomas Lampe; Michael Neunert; Jonas Degrave; Tom Van de Wiele; Vlad Mnih; Nicolas Heess; Jost Tobias Springenberg (ICML, 2018)

A Family of Iterative Gauss-Newton Shooting Methods for Nonlinear Optimal Control. - Markus Giftthaler; Michael Neunert; Markus Stäuble; Jonas Buchli; Moritz Diehl (IROS, 2018)

The control toolbox - An open-source C++ library for robotics, optimal and model predictive control. - Markus Giftthaler; Michael Neunert; Markus Stäuble; Jonas Buchli (SIMPAR, 2018)

Whole-Body Nonlinear Model Predictive Control Through Contacts for Quadrupeds. - Michael Neunert; Markus Stäuble; Markus Giftthaler; Carmine Dario Bellicoso; Jan Carius; Christian Gehring; Marco Hutter 001; Jonas Buchli (IEEE Robotics Autom. Lett., 2018)

Imagined Value Gradients: Model-Based Policy Optimization with Tranferable Latent Dynamics Models. - Arunkumar Byravan; Jost Tobias Springenberg; Abbas Abdolmaleki; Roland Hafner; Michael Neunert; Thomas Lampe; Noah Y. Siegel; Nicolas Heess; Martin A. Riedmiller (CoRL, 2019)

Continuous-Discrete Reinforcement Learning for Hybrid Control in Robotics. - Michael Neunert; Abbas Abdolmaleki; Markus Wulfmeier; Thomas Lampe; Jost Tobias Springenberg; Roland Hafner; Francesco Romano; Jonas Buchli; Nicolas Heess; Martin A. Riedmiller (CoRL, 2019)

Simultaneously Learning Vision and Feature-Based Control Policies for Real-World Ball-In-A-Cup. - Devin Schwab; Jost Tobias Springenberg; Murilo Fernandes Martins; Michael Neunert; Thomas Lampe; Abbas Abdolmaleki; Tim Hertweck; Roland Hafner; Francesco Nori; Martin A. Riedmiller (Robotics: Science and Systems, 2019)

Value constrained model-free continuous control. - Steven Bohez; Abbas Abdolmaleki; Michael Neunert; Jonas Buchli; Nicolas Heess; Raia Hadsell (CoRR, 2019)

Regularized Hierarchical Policies for Compositional Transfer in Robotics. - Markus Wulfmeier; Abbas Abdolmaleki; Roland Hafner; Jost Tobias Springenberg; Michael Neunert; Tim Hertweck; Thomas Lampe; Noah Y. Siegel; Nicolas Heess; Martin A. Riedmiller (CoRR, 2019)

Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models. - Arunkumar Byravan; Jost Tobias Springenberg; Abbas Abdolmaleki; Roland Hafner; Michael Neunert; Thomas Lampe; Noah Y. Siegel; Nicolas Heess; Martin A. Riedmiller (CoRR, 2019)

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion. - Roland Hafner; Tim Hertweck; Philipp Klöppner; Michael Bloesch; Michael Neunert; Markus Wulfmeier; Saran Tunyasuvunakool; Nicolas Heess; Martin A. Riedmiller (CoRL, 2020)

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. - Noah Y. Siegel; Jost Tobias Springenberg; Felix Berkenkamp; Abbas Abdolmaleki; Michael Neunert; Thomas Lampe; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (ICLR, 2020)

A distributional view on multi-objective policy optimization. - Abbas Abdolmaleki; Sandy H. Huang; Leonard Hasenclever; Michael Neunert; H. Francis Song; Martina Zambelli; Murilo F. Martins; Nicolas Heess; Raia Hadsell; Martin A. Riedmiller (ICML, 2020)

Compositional Transfer in Hierarchical Reinforcement Learning. - Markus Wulfmeier; Abbas Abdolmaleki; Roland Hafner; Jost Tobias Springenberg; Michael Neunert; Noah Y. Siegel; Tim Hertweck; Thomas Lampe; Nicolas Heess; Martin A. Riedmiller (Robotics: Science and Systems, 2020)

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. - Noah Y. Siegel; Jost Tobias Springenberg; Felix Berkenkamp; Abbas Abdolmaleki; Michael Neunert; Thomas Lampe; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (CoRR, 2020)

"What, not how": Solving an under-actuated insertion task from scratch. - Giulia Vezzani; Michael Neunert; Markus Wulfmeier; Rae Jeong; Thomas Lampe; Noah Y. Siegel; Roland Hafner; Abbas Abdolmaleki; Martin A. Riedmiller; Francesco Nori (CoRR, 2020)

A Constrained Multi-Objective Reinforcement Learning Framework. - Sandy H. Huang; Abbas Abdolmaleki; Giulia Vezzani; Philemon Brakel; Daniel J. Mankowitz; Michael Neunert; Steven Bohez; Yuval Tassa; Nicolas Heess; Martin A. Riedmiller; Raia Hadsell (CoRL, 2021)

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes. - Alex X. Lee; Coline Manon Devin; Yuxiang Zhou; Thomas Lampe; Konstantinos Bousmalis; Jost Tobias Springenberg; Arunkumar Byravan; Abbas Abdolmaleki; Nimrod Gileadi; David Khosid; Claudio Fantacci; José Enrique Chen; et al. (CoRL, 2021)

Data-efficient Hindsight Off-policy Option Learning. - Markus Wulfmeier; Dushyant Rao; Roland Hafner; Thomas Lampe; Abbas Abdolmaleki; Tim Hertweck; Michael Neunert; Dhruva Tirumala; Noah Y. Siegel; Nicolas Heess; Martin A. Riedmiller (ICML, 2021)

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors. - Steven Bohez; Saran Tunyasuvunakool; Philemon Brakel; Fereshteh Sadeghi; Leonard Hasenclever; Yuval Tassa; Emilio Parisotto; Jan Humplik; Tuomas Haarnoja; Roland Hafner; Markus Wulfmeier; Michael Neunert; et al. (CoRR, 2022)

Magnetic control of tokamak plasmas through deep reinforcement learning. - Jonas Degrave; Federico Felici; Jonas Buchli; Michael Neunert; Brendan D. Tracey; Francesco Carpanese; Timo Ewalds; Roland Hafner; Abbas Abdolmaleki; Diego de Las Casas; Craig Donner; Leslie Fritz; et al. (Nat., 2022)

Barkour: Benchmarking Animal-level Agility with Quadruped Robots. - Ken Caluwaerts; Atil Iscen; J. Chase Kew; Wenhao Yu 003; Tingnan Zhang; Daniel Freeman; Kuang-Huei Lee; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; et al. (CoRR, 2023)

Towards practical reinforcement learning for tokamak magnetic control. - Brendan D. Tracey; Andrea Michi; Yuri Chervonyi; Ian Davies; Cosmin Paduraru; Nevena Lazic; Federico Felici; Timo Ewalds; Craig Donner; Cristian Galperti; Jonas Buchli; Michael Neunert; et al. (CoRR, 2023)

SkillS: Adaptive Skill Sequencing for Efficient Temporally-Extended Exploration. - Giulia Vezzani; Dhruva Tirumala; Markus Wulfmeier; Dushyant Rao; Abbas Abdolmaleki; Ben Moran; Tuomas Haarnoja; Jan Humplik; Roland Hafner; Michael Neunert; Claudio Fantacci; Tim Hertweck; et al. (Trans. Mach. Learn. Res., 2023)

Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots. - Thomas Lampe; Abbas Abdolmaleki; Sarah Bechtle; Sandy H. Huang; Jost Tobias Springenberg; Michael Bloesch; Oliver Groth; Roland Hafner; Tim Hertweck; Michael Neunert; Markus Wulfmeier; Jingwei Zhang 001; et al. (ICRA, 2024)

The Design of the Barkour Benchmark for Robot Agility. - Wenhao Yu 003; Ken Caluwaerts; Atil Iscen; J. Chase Kew; Tingnan Zhang; Daniel Freeman; Lisa Lee; Stefano Saliceti; Vincent Zhuang; Nathan Batchelor; Steven Bohez; Federico Casarini; et al. (IROS, 2024)

Real-world fluid directed rigid body control via deep reinforcement learning. - Mohak Bhardwaj; Thomas Lampe; Michael Neunert; Francesco Romano; Abbas Abdolmaleki; Arunkumar Byravan; Markus Wulfmeier; Martin A. Riedmiller; Jonas Buchli (L4DC, 2024)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)