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2020 – today
- 2022
[b1]Michel Breyer:
Efficient Robotic Grasping in Unstructured Environments. ETH Zurich, Zürich, Switzerland, 2022- [c7]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: 1646-1652 - [c6]Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. IROS 2022: 1411-1416 - [i7]Michel Breyer, Lionel Ott, Roland Siegwart, Jen Jen Chung:
Closed-Loop Next-Best-View Planning for Target-Driven Grasping. CoRR abs/2207.10543 (2022) - 2021
- [c5]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: 6585-6591 - [i6]Michel Breyer, Jen Jen Chung, Lionel Ott, Roland Siegwart, Juan I. Nieto:
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter. CoRR abs/2101.01132 (2021) - [i5]Yunke Ao, Le Chen, Florian Tschopp, Michel Breyer, Andrei Cramariuc, Roland Siegwart:
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning. CoRR abs/2109.14974 (2021) - 2020
- [c4]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: 1312-1325 - [c3]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: 1602-1611 - [c2]Tonci Novkovic, Rémi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan I. Nieto:
Object Finding in Cluttered Scenes Using Interactive Perception. ICRA 2020: 8338-8344 - [i4]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 abs/2004.00899 (2020) - [i3]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 abs/2011.02574 (2020)
2010 – 2019
- 2019
- [j1]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): 1549-1556 (2019) - [c1]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: 1373-1379 - [i2]Tonci Novkovic, Rémi Pautrat, Fadri Furrer, Michel Breyer, Roland Siegwart, Juan I. Nieto:
Object Finding in Cluttered Scenes Using Interactive Perception. CoRR abs/1911.07482 (2019) - 2018
- [i1]Michel Breyer, Fadri Furrer, Tonci Novkovic, Roland Siegwart, Juan I. Nieto:
Flexible Robotic Grasping with Sim-to-Real Transfer based Reinforcement Learning. CoRR abs/1803.04996 (2018)
Coauthor Index
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