Michel Breyer - RankMe

16 papers A* 3A 1Misc 2Journal 8Unranked 1

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