The RH56DP is a 5-finger dexterous robotic hand from Inspire Robots (Beijing), part of their RH56 series. It features 6 degrees of freedom across 12 joints, tendon/cable-driven actuation, integrated fingertip force sensing, and supports RS232, RS485, and CAN communication interfaces. Designed for service robotics, prosthetics, and humanoid robot integration, it is commercially available at a price point of approximately USD $3,000–$8,000 per unit. Inspire Robots achieved 10,000 standalone deliveries of the RH56 series by 2025.
Primary use case: Industrial Automation
Locomotion
stationary
Max Lift/Arm
2 kg
Availability
Available
Primary Use Case
Industrial Automation
Google DeepMind released Gemini Robotics 2 on July 30, 2026, its first vision-language-action model capable of controlling a full humanoid robot including legs, torso, arms, and multi-finger hands under a single learned policy. The model demonstrates success rates ranging from 92% for unscrewing a light bulb to 32% for sweeping, with the strategic intent of supplying AI intelligence to robot manufacturers rather than building hardware itself. Apptronik's Apollo 2 serves as the primary demonstration platform, while Boston Dynamics also signed a partnership to integrate Gemini Robotics into its next-generation Atlas.
Google DeepMind released Gemini Robotics 2, the first vision-language-action (VLA) model capable of controlling a full humanoid body—including legs, torso, arms, and multi-finger hands—under a single unified policy, collapsing the traditional separation between locomotion and manipulation controllers. The release includes three models: the flagship VLA, the embodied reasoning model (ER 2) now available to developers via the Gemini API, and an on-device version that can adapt to new robot embodiments in under 200 demonstrations.
Google DeepMind announced Gemini Robotics 2, a major advancement in robotics AI that enables intelligent whole-body control, advanced dexterity, and multi-robot collaboration. The system includes three models: a vision-language-action model (VLA) for controlling humanoids, an embodied reasoning model (ER) for high-level planning, and an on-device model for local operation that can adapt to new robot embodiments in hours.