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2304.10595
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The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing
20 April 2023
Leonel Rozo
A. Kupcsik
Philipp Schillinger
Meng Guo
R. Krug
Niels van Duijkeren
Markus Spies
Patrick Kesper
Sabrina Hoppe
Hanna Ziesche
M. Burger
Kai O. Arras
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Papers citing
"The e-Bike Motor Assembly: Towards Advanced Robotic Manipulation for Flexible Manufacturing"
13 / 13 papers shown
Title
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
Moritz Reuss
Niels van Duijkeren
R. Krug
P. Becker
Vaisakh Shaj
Gerhard Neumann
26
5
0
27 May 2022
Supervised Training of Dense Object Nets using Optimal Descriptors for Industrial Robotic Applications
A. Kupcsik
Markus Spies
Alexander Klein
M. Todescato
Nicolai Waniek
Philipp Schillinger
Mathias Buerger
50
11
0
16 Feb 2021
Keypoints into the Future: Self-Supervised Correspondence in Model-Based Reinforcement Learning
Lucas Manuelli
Yunzhu Li
Peter R. Florence
Russ Tedrake
SSL
67
103
0
10 Sep 2020
Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data
Priya Sundaresan
J. Grannen
Brijen Thananjeyan
Ashwin Balakrishna
Michael Laskey
Kevin Stone
Joseph E. Gonzalez
Ken Goldberg
49
126
0
03 Mar 2020
Bayesian Optimization Meets Riemannian Manifolds in Robot Learning
Noémie Jaquier
Leonel Rozo
Sylvain Calinon
Mathias Bürger
57
54
0
11 Oct 2019
End-to-End Robotic Reinforcement Learning without Reward Engineering
Avi Singh
Larry Yang
Kristian Hartikainen
Chelsea Finn
Sergey Levine
SSL
OffRL
69
267
0
16 Apr 2019
An Algorithmic Perspective on Imitation Learning
Takayuki Osa
Joni Pajarinen
Gerhard Neumann
J. Andrew Bagnell
Pieter Abbeel
Jan Peters
83
844
0
16 Nov 2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence
Lucas Manuelli
Russ Tedrake
SSL
93
278
0
22 Jun 2018
A Berkeley View of Systems Challenges for AI
Ion Stoica
D. Song
Raluca A. Popa
D. Patterson
Michael W. Mahoney
...
Joseph E. Gonzalez
Ken Goldberg
A. Ghodsi
David Culler
Pieter Abbeel
61
200
0
15 Dec 2017
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
116
1,951
0
19 Sep 2017
Linear Matrix Inequalities for Physically-Consistent Inertial Parameter Identification: A Statistical Perspective on the Mass Distribution
Patrick M. Wensing
Sangbae Kim
Jean-Jacques E. Slotine
52
122
0
16 Jan 2017
Identification of Fully Physical Consistent Inertial Parameters using Optimization on Manifolds
Silvio Traversaro
Stanislas Brossette
Adrien Escande
F. Nori
60
60
0
27 Oct 2016
Sampling-based Algorithms for Optimal Motion Planning
S. Karaman
Emilio Frazzoli
99
4,691
0
05 May 2011
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