過去のSIYA-IROS受賞者

SIYA-IROS受賞者リスト

計測自動制御学会(SICE)は,国際的に存在感のある計測・制御・システムインテグレーション分野の中心的な学会を目指し,国際化に向けて関連団体との連携や支援、次世代を担う若手育成に重点的に取り組んでいます.
そこで,若手研究者の研究を奨励し,その国際活動を支援することを目的とし,SICE International Young Authors Award (SIYA) を創設しました.

IEEE/RSJ IROS および IEEE/SICE SII における論文発表者を対象として,SIYA賞の贈賞を行っています。

SIYA-IROS2022

2022年10月11日

受賞者および受賞論文

  • Akinori Sakaguchi, “A Novel Quadrotor With a 3-Axis Deformable Frame Using Tilting Motions of Parallel Link Modules Without Thrust Loss”
  • Hyogo Hiruma, “Deep Active Visual Attention for Real-time Robot Motion Generation: Emergence of Tool-body Assimilation and Adaptive Tool-use”
  • Temma Suzuki, “RAMIEL: A Parallel-Wire Driven Monopedal Robot for High and Continuous Jumping”
  • Fumio Ito, “Instantaneous force generation mechanism based on the striking motion of mantis shrimp—Design and control method of cavitation by simulation and experiment*”
  • Takuro Takanashi, “Obstacle-Aided Locomotion of a Snake Robot Using Piecewise Helixes”
  • Kenji Koide, “Scalable Fiducial Tag Localization on a 3D Prior Map via Graph-Theoretic Global Tag-Map Registration”
  • Kento Kawaharazuka, “Self-Supervised Learning of Visual Servoing for Low-Rigidity Robots Considering Temporal Body Changes”
  • Minori Toyoda, “Learning Bidirectional Translation between Descriptions and Actions with Small Paired Data”
  • Yusuke Tanaka, “SCALER: A Tough Versatile Quadruped Free-Climber Robot”
  • Taisuke Kobayashi, “L2C2: Locally Lipschitz Continuous Constraint towards Stable and Smooth Reinforcement Learning”

SIYA-IROS2021

2021年10月24日

受賞者および受賞論文

  • Tatsuya Takemori, Motoyasu Tanaka and Fumitoshi Matsuno, “Hoop-Passing Motion for a Snake Robot to Realize Motion Transition Across Different Environments”
  • Shimpei Sato, Yuta Kojio, Kunio Kojima, Fumihito Sugai, Yohei Kakiuchi, Kei Okada, and Masayuki Inaba, “Drop Prevention Control for Humanoid Robots Carrying Stacked Boxes”
  • Kanata Suzuki, Momomi Kanamura, Yuki Suga, Hiroki Mori and Tetsuya Ogata, “In-air Knotting of Rope using Dual-Arm Robot based on Deep Learning
  • Yu Yamauchi, Yuichi Ambe, Masashi Konyo, Kenjiro Tadakuma and Satoshi Tadokoro, “Passive Orientation Control of Nozzle Unit With Multiple Water Jets to Expand the Net Force Direction Range
    for Aerial Hose-type Robots”
  • Tomoya Takahashi, Masahiro Watanabe, Kenjiro Tadakuma, Eri Takane, Masashi Konyo, and Satoshi Tadokoro, “Two-Sheet Type Rotary-Driven Thin Bending Mechanism Realizing High Stiffness”

SIYA-IROS2020

2020年11月12日

  • Takayuki Murooka, Kei Okada and Masayuki Inaba, “Diabolo Orientation Stabilization by Learning Predictive Model for Unstable Unknown-Dynamics Juggling Manipulation”
  • Kota Okamoto, Shinya Aoi, Ippei Obayashi, Hiroshi Kokubu, Kei Senda, and Kazuo Tsuchiya, “Disappearance of chaotic attractor of passive dynamic walking by stretch-bending deformation in basin of attraction”
  • Daiki Fujikura, Kenjiro Tadakuma, Masahiro Watanabe, Yoshito Okada, Kazunori Ohno, and Satoshi Tadokoro, “Toward Enabling a Hundred Drones to Land in a Minute”
  • Bilal Turan, Yusuke Tomori, Taisuke Masuda, Weng, Larina Tzu-Wei Shen, Satoshi Matsusaka, and Fumihito Arai, “Detection and Control of Air Liquid Interface With an Open- Channel Microfluidic Chip for Circulating Tumor Cells Isolation From Human Whole Blood”
  • Ryo Eguchi, Brendan Michael, Matthew Howard, and Masaki Takahashi, “Shift-Adaptive Estimation of Joint Angle Using Instrumented Brace With Two Stretch Sensors Based on Gaussian Mixture Models”
  • Yusheng Wang, Yonghoon Ji, Dingyu Liu, Yusuke Tamura, Hiroshi Tsuchiya, Atsushi Yamashita, and Hajime Asama, “ACMarker: Acoustic Camera-based Fiducial Marker System in Underwater Environment”

SIYA-IROS2019

2019年11月7日

  • Shinsuke Nakashima, “An Approach of Facilitated Investigation of Active Self-healing Tension Transmission System Oriented for Legged Robots”
  • Hiroyuki Nabae, “Soft Polymer-Electrolyte-Fuel-Cell Tube Realizing Air-Hose-Free Thin McKibben Muscles”
  • Yunduan Cui, “Reinforcement Learning Boat Autopilot: A Sample-efficient and Model Predictive Control based Approach”