155 citations · 765 across the 63 of their papers we have counts for
10 papers · 1 filter
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning
Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi
In this paper, we propose a new self-supervised learning (SSL) method for representations that enable logic operations. Representation learning has been applied to various tasks, s…
World-Model-Based Control for Industrial box-packing of Multiple Objects using NewtonianVAE
Yusuke Kato, Ryo Okumura, Tadahiro Taniguchi
The process of industrial box-packing, which involves the accurate placement of multiple objects, requires high-accuracy positioning and sequential actions. When a robot is tasked…
Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-objective Bayesian Optimization with Priors
Masashi Okada, Mayumi Komatsu, Ryo Okumura +1
Rather than traditional position control, impedance control is preferred to ensure the safe operation of industrial robots programmed from demonstrations. However, variable stiffne…
Control as Probabilistic Inference as an Emergent Communication Mechanism in Multi-Agent Reinforcement Learning
Tomoaki Nakamura, Akira Taniguchi, Tadahiro Taniguchi
This paper proposes a generative probabilistic model integrating emergent communication and multi-agent reinforcement learning. The agents plan their actions by probabilistic infer…
Symbol emergence as interpersonal cross-situational learning: the emergence of lexical knowledge with combinatoriality
Yoshinobu Hagiwara, Kazuma Furukawa, Takafumi Horie +2
We present a computational model for a symbol emergence system that enables the emergence of lexical knowledge with combinatoriality among agents through a Metropolis-Hastings nami…
Metropolis-Hastings algorithm in joint-attention naming game: Experimental semiotics study
Ryota Okumura, Tadahiro Taniguchi, Yosinobu Hagiwara +1
In this study, we explore the emergence of symbols during interactions between individuals through an experimental semiotic study. Previous studies investigate how humans organize…