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Unfolding the literature: A review of robotic cloth manipulation
The realm of textiles spans clothing, households, healthcare, sports, and industrial
applications. The deformable nature of these objects poses unique challenges that prior …
applications. The deformable nature of these objects poses unique challenges that prior …
Deep predictive learning: Motion learning concept inspired by cognitive robotics
Bridging the gap between motion models and reality is crucial by using limited data to
deploy robots in the real world. Deep learning is expected to be generalized to diverse …
deploy robots in the real world. Deep learning is expected to be generalized to diverse …
Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM
In recent years, studies have been actively conducted on combining large language models
(LLM) and robotics; however, most have not considered end-to-end feed-back in the robot …
(LLM) and robotics; however, most have not considered end-to-end feed-back in the robot …
Enhancement of Long-Horizon Task Planning via Active and Passive Modification in Large Language Model
This study proposes a method for generating complex, long-horizon off-line task plans using
large language models (LLMs). Although several studies have been conducted in recent …
large language models (LLMs). Although several studies have been conducted in recent …
深層予測学習を用いたロボット動作の複合生成
鈴木彼方， 伊藤洋， 山田竜郎， 加瀬敬唯… - 日本ロボット学会誌, 2022 - jstage.jst.go.jp
深層学習を用いたロボット動作学習に関する研究が**年盛んに取り組まれている [1][2].
大規模なデータや大量の試行に基づいて個々のタスク精度の向上が見られる一方 …
大規模なデータや大量の試行に基づいて個々のタスク精度の向上が見られる一方 …
「手を挙げてみた」 から始まった TUM 留学体験記
鈴木彼方 - 日本ロボット学会誌, 2022 - jstage.jst.go.jp
私は修士 1 年生時に, ドイツのミュンヘン工科大学 (TUM) に留学し, Gordon Cheng
先生が主宰する Institute for Cognitive Systems (ICS) で, 深層学習を用いたロボット動作学習 …
先生が主宰する Institute for Cognitive Systems (ICS) で, 深層学習を用いたロボット動作学習 …