Hutter, Marco

19 publications

CoRL 2025 Constrained Style Learning from Imperfect Demonstrations Under Task Optimality Kehan Wen, Chenhao Li, Junzhe He, Marco Hutter

CoRL 2025 Divide, Discover, Deploy: Factorized Skill Learning with Symmetry and Style Priors Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter

CVPR 2025 ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images Yanqing Shen, Turcan Tuna, Marco Hutter, Cesar Cadena, Nanning Zheng

CoRL 2025 GraspQP: Differentiable Optimization of Force Closure for Diverse and Robust Dexterous Grasping René Zurbrügg, Andrei Cramariuc, Marco Hutter

CoRL 2025 Learning Deployable Locomotion Control via Differentiable Simulation Clemens Schwarke, Victor Klemm, Joshua Bagajo, Jean Pierre Sleiman, Ignat Georgiev, Jesus Tordesillas Torres, Marco Hutter

CoRL 2025 Motion Priors Reimagined: Adapting Flat-Terrain Skills for Complex Quadruped Mobility Zewei Zhang, Chenhao Li, Takahiro Miki, Marco Hutter

CoRL 2025 Multi-Critic Learning for Whole-Body End-Effector Twist Tracking Aravind Elanjimattathil Vijayan, Andrei Cramariuc, Mattia Risiglione, Christian Gehring, Marco Hutter

ICML 2025 Simple Policy Optimization Zhengpeng Xie, Qiang Zhang, Fan Yang, Marco Hutter, Renjing Xu

CoRL 2024 Guided Reinforcement Learning for Robust Multi-Contact Loco-Manipulation Jean Pierre Sleiman, Mayank Mittal, Marco Hutter

CoRL 2024 Learning to Open and Traverse Doors with a Legged Manipulator Mike Zhang, Yuntao Ma, Takahiro Miki, Marco Hutter

CVPR 2024 TULIP: Transformer for Upsampling of LiDAR Point Clouds Bin Yang, Patrick Pfreundschuh, Roland Siegwart, Marco Hutter, Peyman Moghadam, Vaishakh Patil

CoRL 2024 Tag mAP: A Text-Based mAP for Spatial Reasoning and Navigation with Large Language Models Mike Zhang, Kaixian Qu, Vaishakh Patil, Cesar Cadena, Marco Hutter

CoRL 2023 Curiosity-Driven Learning of Joint Locomotion and Manipulation Tasks Clemens Schwarke, Victor Klemm, Matthijs van der Boon, Marko Bjelonic, Marco Hutter

CVPR 2023 PyPose: A Library for Robot Learning with Physics-Based Optimization Chen Wang, Dasong Gao, Kuan Xu, Junyi Geng, Yaoyu Hu, Yuheng Qiu, Bowen Li, Fan Yang, Brady Moon, Abhinav Pandey, Aryan, Jiahe Xu, Tianhao Wu, Haonan He, Daning Huang, Zhongqiang Ren, Shibo Zhao, Taimeng Fu, Pranay Reddy, Xiao Lin, Wenshan Wang, Jingnan Shi, Rajat Talak, Kun Cao, Yi Du, Han Wang, Huai Yu, Shanzhao Wang, Siyu Chen, Ananth Kashyap, Rohan Bandaru, Karthik Dantu, Jiajun Wu, Lihua Xie, Luca Carlone, Marco Hutter, Sebastian Scherer

CoRL 2021 Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning Nikita Rudin, David Hoeller, Philipp Reist, Marco Hutter

L4DC 2020 Practical Reinforcement Learning for MPC: Learning from Sparse Objectives in Under an Hour on a Real Robot Napat Karnchanachari, Miguel Iglesia Valls, David Hoeller, Marco Hutter

CoRL 2019 Deep Value Model Predictive Control David Hoeller, Farbod Farshidian, Marco Hutter

IJCAI 2018 Greedy Stone Tower Creations with a Robotic Arm Martin Wermelinger, Fadri Furrer, Hironori Yoshida, Fabio Gramazio, Matthias Kohler, Roland Siegwart, Marco Hutter

CVPR 2016 Robust Visual Place Recognition with Graph Kernels Elena Stumm, Christopher Mei, Simon Lacroix, Juan Nieto, Marco Hutter, Roland Siegwart