ALOHA Stationary V2 両腕テレオペシステム
両腕リーダー・フォロワー構成の据置型テレオペシステム。Google DeepMindのALOHA 2に連なる系譜の現行製品版で、両手協調作業（folding、組立、調理等）の学習データ収集における世界の研究標準。ヒューマノイド向け基盤モデルの教師データ収集事業にも使われる。
公式動画
提供: Trossen Robotics 公式チャンネル
Aloha Stationary Hardware Assembly Guide
公式メーカーリソース
提供: Trossen Robotics 公式
※外部リンク（新しいタブで開きます）。メーカー公式情報を一次ソースとしてご確認ください。
他機種との比較表
メーカー公式情報・公開仕様に基づく主要スペック比較
| 項目 | Trossen Robotics ALOHA Stationary V2 両腕テレオペシステム 本機種 | Trossen Robotics ALOHA Solo | Trossen Robotics ALOHA Mobile | Preferred Robotics Kachaka Pro |
|---|---|---|---|---|
| 身長 | — | — | — | — |
| 重量 | — | — | — | 12.2kg |
| ペイロード | — | — | — | 最大牽引重量30kg(ハードフロア)、20kg(カーペット) |
| 最高速度 | — | — | — | — |
| 自由度 (DoF) | — | — | — | — |
| 稼働時間 | — | — | — | 充電式リチウムイオン電池 86.94Wh |
| メーカー希望価格 | ¥4,980,000 | ¥1,680,000 | ¥6,480,000 | — |
よくある質問 （Trossen Robotics ALOHA Stationary V2 両腕テレオペシステム）
ALOHA Stationary V2の価格は？
何に使われている？
関連ニュース （Trossen Robotics ALOHA Stationary V2 両腕テレオペシステム）
-
Mobile Robot: A Buyer’s Guide to Research Workflows
Explore mobile robot requirements, mobility options, sensing, data workflows, and validation steps to scope a platform for physical AI research....
-
Tactile Sensing and Control of Robotic Manipulation: A Practical Guide
Explore tactile sensing and control of robotic manipulation, from contact detection and force regulation to data capture, evaluation, and sim-to-real tests....
-
Robot Servo Controller: How to Choose and Integrate Motion Control Hardware
Learn how to choose a robot servo controller by comparing communication, feedback, torque, timing, safety, and software needs for your robotics project....
過去のニュース全 10 件を見る
-
Open X Embodiment: Dataset Guide for Robot Learning
Open X Embodiment explained: explore its scale, robot diversity, research value, data formats, limitations, and path to real-robot evaluation....
-
How Humans Are Training the Next Generation of Robots: Matt Trossen on The Robotics Stack Podcast
Robots that learn need people to teach them. Matt Trossen joined The Robotics Stack podcast to talk about clean teleoperation data, where physical AI works first, and our new hardware....
-
Built to Be Hacked: Why Research Robots Have to Stay Open
A research robot has to support experiments its designers haven’t thought of yet. Matt Trossen explains why we build our hardware to be changed....
-
Robotic End of Arm Tooling: A Practical Guide
Choose robotic end of arm tooling by task, payload, reach, interfaces, and repeatability with this practical guide for research and automation teams....
-
Robot Machine Learning: A Practical Stack from Data to Deployment
Explore robot machine learning from sensors and teleoperation to training, evaluation, and deployment, with a practical stack for research teams....
-
Robot Data Collection Platform: Hardware and Scale
Evaluate a robot data collection platform across hardware, teleoperation, capture, metadata, storage, quality checks, and scale before you commit....
-
How a University Lab Teaches a Robot Arm Pick and Place with Physical AI and the Trossen Solo AI Kit
A university research lab is using the Trossen Solo AI kit to teach a robot arm to pick up any manufacturing part, in any orientation, and place it in the right bin from a simple prompt. Ali Beydoun, ...
-
Multimodal Robot Data: Designing Synchronized Datasets for Physical AI
Design multimodal robot data workflows that align joint states, RGB-D video, actions, timestamps, and metadata for reliable physical AI training....
-
Behavior Cloning Robotics: From Human Demonstrations to Robot Policies
Explore behavior cloning robotics, from recording clean teleoperation demonstrations to validating learned policies and deploying them on real hardware....
-
Machine Learning Robot Arm Platforms: A Comparison
Compare machine learning robot arm platforms across hardware, cameras, teleoperation, data, compute, inference, documentation, and scale for physical AI....
ユーザーレビュー （Trossen Robotics ALOHA Stationary V2 両腕テレオペシステム）
まだレビューはありません。最初のレビューを投稿しませんか？