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Masaki Nakada

2 accepted papers

2022

DeepFoids: Adaptive Bio-Inspired Fish Simulation with Deep Reinforcement Learning

NeurIPS 2022accept

Our goal is to synthesize realistic underwater scenes with various fish species in different fish cages, which can be utilized to train computer vision models to automate fish counting and sizing tasks. It is a challenging problem to prepare a sufficiently diverse labeled dataset of images from aqua…

Cited by 5SourcePDFScholar
2020

Deep Learning of Neuromuscular and Visuomotor Control of a Biomimetic Simulated Humanoid

RA-L 2020

We present a biomimetic framework for human neuromuscular and visuomotor control that promises to be of value to researchers developing humanoid robots. Our framework features a biomechanically simulated human musculoskeletal model, actuated by numerous skeletal muscles, with realistic eyes driven b

Cited by 2SourceScholar