21 citations
- Felix von Drigalski2 profiles3 · h 9
- Kazutoshi Tanaka3 profiles3 · h 14
- Masashi Hamaya2 profiles3 · h 16
- Shigeo Yoshida3 profiles3 · h 6
- Yoshitaka Ushiku3 · h 6
- Atsushi Hashimoto2 profiles2 · h 11
- C. C. Beltran-Hernandez2 · h 11
- Joshua C. Triyonoputro2 · h 5
- Mai Nishimura2 profiles2 · h 7
- Ryo Igarashi2 · h 3
- Ryo Yonetani2 · h 20
- Weiwei Wan2 · h 27
- The University of OsakaJP3 papers
- National Institute of Advanced Industrial Science and TechnologyJP2 papers
- Beihang UniversityCN1 paper
- Centre de Recherche en Économie et StatistiqueFR1 paper
- Centre Max WeberFR1 paper
- Chaotic.com (United States)US1 paper
- Chubu UniversityJP1 paper
- Criteo (France)FR1 paper
- École Normale Supérieure de LyonFR1 paper
- Entrepôts, Représentation et Ingénierie des ConnaissancesFR1 paper
- Georgia Institute of TechnologyUS1 paper
- Google DeepMind (United Kingdom)GB1 paper
4 papers · 1 filter
An analytical diabolo model for robotic learning and control
Felix von Drigalski, Devwrat Joshi, Takayuki Murooka +3
In this paper, we present a diabolo model that can be used for training agents in simulation to play diabolo, as well as running it on a real dual robot arm system. We first derive…
Adaptive Distillation for Decentralized Learning from Heterogeneous Clients
Jiaxin Ma, Ryo Yonetani, Zahid Iqbal
This paper addresses the problem of decentralized learning to achieve a high-performance global model by asking a group of clients to share local models pre-trained with their own…
Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools
Felix von Drigalski, Chisato Nakashima, Yoshiya Shibata +12
We propose a versatile robotic system for kitting and assembly tasks which uses no jigs or commercial tool changers. Instead of specialized end effectors, it uses its two-finger gr…
Partially-Shared Variational Auto-encoders for Unsupervised Domain Adaptation with Target Shift
Ryuhei Takahashi, Atsushi Hashimoto, Motoharu Sonogashira +1
This paper proposes a novel approach for unsupervised domain adaptation (UDA) with target shift. Target shift is a problem of mismatch in label distribution between source and targ…