Posts by Collection

模擬人工衛星 CanSat

ARLISS2013（優勝）、ARLISS2014、ARLISS2015

チャーハンロボットの設計・製作・制御

第17回ロボットグランプリ 優勝
4軸ロボットアームの設計・製作・制御を担当

衛星設計コンテスト

2014年アイデア大賞：五輪紋章創造衛星武蔵
2015年設計大賞：重力波天体観測衛星ひばり

地球・天体観測衛星TSUBAME

C&DH系組込SW開発，衛星自動運用システム，プロジェクトマネージャを担当

自作スピーカ

フルレンジスピーカの製作

DLAS: Deep Learning Attitude Sensor

オンボード衛星画像分類ソフトウェア開発，プロジェクトマネージャを担当

Trajectory Optimization for Unknown Constrained Systems using Reinforcement Learning

Published in IROS, 2019

This paper proposes a RL-based algorithm for trajectory optimization for constrained dynamical systems.

Download here

Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?

Published in ICML, 2020

This paper intentionally increases input dimensionality to improve the performance of Deep RL algorithms. The proposed OFENet significantly improves sample efficiency and final performance of RL algorithms.

Download here

Efficient Exploration in Constrained Environments with Goal-Oriented Reference Path

Published in IROS, 2020

This paper proposes to decouple planning and control by combining traditional path planning algorithms, supervised learning (SL) and reinforcement learning (RL) algorithms in a synergistic way. By exploiting waypoints produced from SL, an RL agent easily learns to navigate to arbitrary goal locations, and generalize to novel environments.

Download here

Deep Reactive Planning in Dynamic Environments

Published in CoRL, 2020

This paper proposes a reactive planning in dynamic environments.

Download here

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.