Michel Breyer

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 15

Top Topics

Parameter Identification

Collecting Data

Mass Spring Model

Top Venues

IEEE Robotics Autom. Lett.

Publications

Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. IROS (2022)
Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. CoRR (2022)
Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Roland Siegwart, Andrei Cramariuc
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning. ICRA (2022)
Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRR (2021)
Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning. CoRR (2021)
Luc Holzherr, Julian Förster, Michel Breyer, Juan I. Nieto, Roland Siegwart, Jen Jen Chung
Efficient Multi-scale POMDPs for Robotic Object Search and Delivery. ICRA (2021)
Tonci Novkovic, Rémi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan I. Nieto
Object Finding in Cluttered Scenes Using Interactive Perception. ICRA (2020)
Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRL (2020)
Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning. CoRR (2020)
Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, César Cadena
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning. CoRL (2020)
Kenneth Blomqvist, Michel Breyer, Andrei Cramariuc, Julian Förster, Margarita Grinvald, Florian Tschopp, Jen Jen Chung, Lionel Ott, Juan I. Nieto, Roland Siegwart
Go Fetch: Mobile Manipulation in Unstructured Environments. CoRR (2020)
Tonci Novkovic, Rémi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan I. Nieto
Object Finding in Cluttered Scenes Using Interactive Perception. CoRR (2019)
Michel Breyer, Fadri Furrer, Tonci Novkovic, Roland Siegwart, Juan I. Nieto
Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 4 (2) (2019)
Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg
Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE (2019)
Michel Breyer, Fadri Furrer, Tonci Novkovic, Roland Siegwart, Juan I. Nieto
Flexible Robotic Grasping with Sim-to-Real Transfer based Reinforcement Learning. CoRR (2018)