
Precision Assembly
Handle small or irregular parts for assembly, tool use, and other human-like process steps.
View candidates31 products →Human-like dexterity expands what robots can do.
A robot hand is the end effector that grasps and manipulates at the tip of an arm or humanoid. Robots working with human tools in human environments need dexterous hands, and the rise of humanoids and embodied AI has made the hand a core component alongside the robot itself. Entry points already span research, education, AI training-data collection, and production and logistics work.

Growing at 68.7% CAGR (interim years interpolated from the growth rate)
Market sizes and growth rates are published forecasts by QYResearch and MarketsandMarkets (checked July 2026).
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Deployment is the start. Reliable operation is the goal.
Compare the role of robot hands across industry, healthcare, services, and advanced research.

Handle small or irregular parts for assembly, tool use, and other human-like process steps.
View candidates31 products →
Use EMG, tactile, and force sensing in prosthetics, rehabilitation, and care-support interfaces.

Give service robots the ability to handle human tools and everyday objects.
View candidates1 products →
Explore inaccessible environments and new manipulation policies through teleoperation, imitation, and reinforcement learning.
View candidates3 products →Compare each maker's focus, company profile, and representative products.
From six-active-DoF models to higher-dexterity hands, teleoperation, and data collection.
Founded in 2023 in Beijing, Linkerbot combines high-DOF dexterous hands with teleoperation and data systems for embodied AI.
Official website ↗Application-specific multi-finger hands with 11–21 total DoF
Product range spanning linkage and tendon transmissions
Data collection with an exoskeleton glove and teleoperation arm

6能動+5受動自由度の軽量・高把持力ロボットハンド。

16能動+5受動自由度、触覚・視覚拡張に対応する多指ハンド。

17能動+4受動自由度、腱駆動の高応答ロボットハンド。
Connect dexterous manipulation and learning data through tactile, force, and vision sensing.
Founded in 2024, DexRobot develops dexterous robotic hands, robots, and data-collection platforms, with headquarters and manufacturing in Shaoxing and R&D in Shanghai.
Official website ↗DexHand range from three-finger to integrated wrist-hand designs
Multimodal position, tactile, force, and proximity sensing
Development platform with SDKs, simulation, and teleoperation
Published track record Its official company introduction lists China Post, Xiaomi, NVIDIA, and others as partners.
Industrial two-finger grippers with practical payload, stroke, and speed choices.
Founded in 2018 in Taicang, Jiangsu, ChangingTech develops and manufactures collaborative, parallel, dexterous, and heavy-duty robot grippers and embodied-intelligence robots.
Official website ↗Practical industrial lineup centered on parallel gripping
Multiple sizes by stroke and payload
Straightforward integration for assembly and machine tending
Apply EMG sensing and bionic technology to multi-finger robot hands.
Founded in 2015 in Shanghai Zhangjiang, OYMotion develops brain-computer interfaces, EMG/EEG sensing, rehabilitation robots, bionic hands, and dexterous robotic hands.
Official website ↗Control technology grounded in EMG and EEG analysis
Experience spanning prosthetics, rehabilitation, and robotics
ROH models with varied DoF and sensing configurations
A long-established research hand specialist focused on dexterity, touch, and teleoperation.
Headquartered in London, Shadow Robot has developed high-dexterity robot hands, tactile sensing, and teleoperation systems for research and industry for over two decades.
Official website ↗High-DoF multi-finger manipulation modeled on the human hand
Research platform with tactile sensing and ROS
Systems designed for reinforcement learning and teleoperation
Published track record Shadow Robot co-developed DEX-EE with Google DeepMind for demanding, long-running machine-learning experiments.
Review every matching model currently listed in the catalog.
Multi-finger hands target complex human-work substitution, research, and embodied AI; compare 12 models by DoF, touch, teleoperation, and learning support. Two-finger grippers instead prioritize payload, speed, and cost on industrial lines.

19自由度と位置・力・滑り・近接の多モーダル知覚を備えた量産型ロボットハンド。

手首一体構造と全域マルチモーダル知覚を備えた22自由度ロボットハンド。

0.6kgの軽量ボディで最大5kg把持に対応する8自由度ロボットハンド。

607gのコンパクトな6能動+5受動自由度ロボットハンド。

16能動+5受動自由度、触覚・視覚拡張に対応する多指ハンド。

17能動+4受動自由度、腱駆動の高応答ロボットハンド。

6能動+5受動自由度の軽量・高把持力ロボットハンド。

全25自由度を力制御し、指先から手首まで触覚と力を読み取るNEO搭載用の腱駆動ハンド

545gの軽量設計で30kgのフック把持荷重に対応する11関節ロボットハンド。

触覚・力覚・位置フィードバックを統合した11関節・6能動自由度の多指ハンド。

指・掌の3次元力覚と150Hz触覚更新に対応する11関節ロボットハンド。

分布型触覚と全方向3次元力覚を備え、30kgの吊り上げ荷重に対応する多指ハンド。

20モーター・24関節と100超のセンサーを備え、1kHz制御に対応する5指ロボットハンド。
For repeat handling of defined parts and load forms; compare four models by stroke, force, speed, payload, and installation conditions.

位置・速度・力のフィードバックに対応する90mmストロークの協作2指グリッパー。

120mmの大ストロークと停電時セルフロックを備えた自適応2指グリッパー。

精密な位置・速度・力制御に対応する40mmストロークの工業用平行2指グリッパー。

高把持力と停電時セルフロックを備えた60mmストロークの工業用平行2指グリッパー。
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Track records and partnerships are based on information published by each company.