21 citations
- The University of OsakaJP2 papers
- Chubu UniversityJP1 paper
- Kanazawa UniversityJP1 paper
- Kyoto UniversityJP1 paper
- National Institute of Advanced Industrial Science and TechnologyJP1 paper
- Technische Universität BerlinDE1 paper
- University of Colorado BoulderUS1 paper
- University of Southern DenmarkDK1 paper
5 papers
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…
Crowd Density Forecasting by Modeling Patch-based Dynamics
Hiroaki Minoura, Ryo Yonetani, Mai Nishimura +1
Forecasting human activities observed in videos is a long-standing challenge in computer vision, which leads to various real-world applications such as mobile robots, autonomous dr…
Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
Felix von Drigalski, Christian Schlette, Martin Rudorfer +5
The Industrial Assembly Challenge at the World Robot Summit was held in 2018 to showcase the state-of-the-art of autonomous manufacturing systems. The challenge included various ta…