Changes between Version 5 and Version 6 of BabyTigers-R/2026
- Timestamp:
- 03/19/26 02:55:43 (3 days ago)
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BabyTigers-R/2026
v5 v6 12 12 13 13 Wataru Uemura / 植村 渉 14 15 14 Kosuke Nakajima / 中嶋 洸介 16 15 … … 26 25 27 26 !BabyTigers-R 28 29 27 Wataru Uemura / 植村 渉 30 31 28 Kosuke Nakajima / 中嶋 洸介 32 29 … … 34 31 35 32 - Name of the team (title) 36 37 * !BabyTigers-R 38 33 * !BabyTigers-R 39 34 - Team members (authors), including the team leader 40 41 * Wataru Uemura (Team Leader) / 植村 渉(チームリーダー) 42 43 * Kosuke Nakajima (Team Leader) / 中嶋 洸介(チームリーダー) 44 35 * Wataru Uemura (Team Leader) / 植村 渉(チームリーダー) 36 * Kosuke Nakajima (Team Leader) / 中嶋 洸介(チームリーダー) 45 37 - Link to the team website 46 47 * https://vega.elec.ryukoku.ac.jp/trac/wiki/BabyTigers-R/2026 48 38 * https://vega.elec.ryukoku.ac.jp/trac/wiki/BabyTigers-R/2026 49 39 - Contact information 50 51 * robocup@vega.elec.ryukoku.ac.jp 52 40 * robocup@vega.elec.ryukoku.ac.jp 53 41 - the focus of research / research interests 54 55 * EN: 56 57 * Robot localization using SLAM and visual markers 58 59 * Robust ArUco marker detection with error correction 60 61 * Multi-robot path planning and coordination 62 63 * Smart manufacturing and industrial automation systems 64 42 * EN: 43 * Robot localization using SLAM and visual markers 44 * Robust ArUco marker detection with error correction 45 * Multi-robot path planning and coordination 46 * Smart manufacturing and industrial automation systems 47 * JP: 48 * SLAMおよびマーカーを用いた自己位置推定 49 * 誤り訂正を含むArUcoマーカー高精度認識 50 * マルチロボットの経路計画・協調制御 51 * スマートマニュファクチャリングおよび産業自動化 52 - a description of the hardware, including an image of the robot(s) 53 * EN: 54 * Mobile platforms: Robotino, Kachaka, and myAGV (Mecanum-wheel omnidirectional drive with LiDAR) 55 * Manipulators: Cobotta and myPalletizer (4-DoF arm with onboard Raspberry Pi control) 56 * Sensors: Intel RealSense D435, USB camera, and LiDAR for perception and localization 57 * JP: 58 * 移動ロボット:Robotino、Kachaka、myAGV(メカナムホイールによる全方向移動・LiDAR搭載) 59 * アーム:Cobotta、myPalletizer(4自由度・Raspberry Pi制御) 60 * センサ:RealSense D435、USBカメラ、LiDAR 61 - a description of the emergency stop concept and its implementation 62 * EN: 63 * Hardware-level emergency stop via a dedicated power cutoff button (under implementation) 64 * Software-level safety using ROS2 monitoring nodes to issue zero-velocity commands and disable actuators 65 * Dual-layer safety architecture ensuring reliable operation 65 66 * JP: 66 67 * SLAMおよびマーカーを用いた自己位置推定68 69 * 誤り訂正を含むArUcoマーカー高精度認識70 71 * マルチロボットの経路計画・協調制御72 73 * スマートマニュファクチャリングおよび産業自動化74 75 - a description of the hardware, including an image of the robot(s)76 77 * EN:78 79 * Mobile platforms: Robotino, Kachaka, and myAGV (Mecanum-wheel omnidirectional drive with LiDAR)80 81 * Manipulators: Cobotta and myPalletizer (4-DoF arm with onboard Raspberry Pi control)82 83 * Sensors: Intel RealSense D435, USB camera, and LiDAR for perception and localization84 85 * JP:86 87 * 移動ロボット:Robotino、Kachaka、myAGV(メカナムホイールによる全方向移動・LiDAR搭載)88 89 * アーム:Cobotta、myPalletizer(4自由度・Raspberry Pi制御)90 91 * センサ:RealSense D435、USBカメラ、LiDAR92 93 - a description of the emergency stop concept and its implementation94 95 * EN:96 97 * Hardware-level emergency stop via a dedicated power cutoff button (under implementation)98 99 * Software-level safety using ROS2 monitoring nodes to issue zero-velocity commands and disable actuators100 101 * Dual-layer safety architecture ensuring reliable operation102 103 * JP:104 105 67 * ハードウェア:電源遮断型の非常停止ボタン(実装中) 106 107 68 * ソフトウェア:ROS2ノードによる異常検知と停止制御 108 109 69 * ハード・ソフトの二重安全構造 110 111 70 - a description of the software, esp. the functional and software architectures 112 113 71 * EN: 114 115 72 * Python-based system built on ROS 2 (Humble / Jazzy) 116 117 73 * Custom ROS2 bridge for RefBox communication 118 119 74 * SLAM-based localization and modular architecture 120 121 75 * SSH-based manipulator control decoupled from ROS 122 123 76 * JP: 124 125 77 * Python + ROS2(Humble / Jazzy)による構成 126 127 78 * RefBox通信のための独自ブリッジ 128 129 79 * SLAMによる自己位置推定とモジュール設計 130 131 80 * SSHによるROS非依存アーム制御 132 133 81 - innovative technology (if any) 134 135 82 * EN: 136 137 83 * Error-resilient ArUco marker detection with row-wise correction 138 139 84 * Cooperative localization among multiple robots 140 141 85 * Low-cost 3D mapping using tilted LiDAR 142 143 86 * Exploration of LLM-based robot programming 144 145 87 * JP: 146 147 88 * 行単位誤り訂正による高耐性ArUco検出 148 149 89 * 複数ロボット間の協調位置推定 150 151 90 * LiDAR傾斜による低コスト3Dマッピング 152 153 91 * LLMを活用したロボット制御研究 154 155 92 - reusability of the system or parts thereof 156 157 93 * EN: 158 159 94 * Modular architecture separating hardware and software 160 161 95 * ROS-independent manipulator control via SSH 162 163 96 * Compatibility with both ROS1 and ROS2 ecosystems 164 165 97 * Open-source RefBox communication modules 166 167 98 * JP: 168 169 99 * ハード・ソフト分離のモジュール設計 170 171 100 * SSHによるROS非依存制御 172 173 101 * ROS1/ROS2両対応 174 175 102 * RefBox通信のオープンソース化 176 177 103 - applicability and relevance to industrial tasks 178 179 104 * EN: 180 181 105 * Designed for smart manufacturing environments 182 183 106 * Supports flexible, high-mix low-volume production 184 185 107 * Enables scalable and adaptive robotic systems 186 187 108 * JP: 188 189 109 * スマートマニュファクチャリングへの適用 190 191 110 * 多品種少量生産への対応 192 193 111 * 拡張性の高いロボットシステム 194 195 112 - usage of components (software or hardware) developed by other !RoboCup teams 196 197 113 * EN: 198 199 114 * RefBox communication modules originally developed for ROS1 200 201 115 * Extended and maintained for ROS2 by our team 202 203 116 * JP: 204 205 117 * RefBox通信モジュール(ROS1ベース) 206 207 118 * ROS2対応として自チームで拡張・公開
