Robot hands with human-like grip get Nvidia backing to replace manual work worldwide
A South Korean robotics firm advances automation goals with robotic hands, aiming to transform manual tasks across industries worldwide.
Tesollo has now been accepted into the Nvidia Inception Program, which helps startups accelerate technical innovation and business growth.
Tesollo’s DELTO Gripper 3-Finger (DG-3F) handles objects of various shapes and materials with a single, precise gripper. Expanding into the fast-growing humanoid robot market, Tesollo has introduced the DELTO Gripper 5-Finger (DG-5F), engineered to replicate human hand dexterity with enhanced control and flexibility.
“The DG-5F is a robotic hand that most precisely replicates the structure of the human hand. It can naturally and accurately reproduce the results of reinforcement or imitation learning-based simulations in real-world environments,” said the firm in a statement.
Next-gen gripper
Tesollo has joined the Nvidia Inception Program, a global platform supporting promising AI and high-performance computing startups.
The program provides technical guidance, GPU optimization, business support, and access to a worldwide network. According to Robotics and Automation News, Tesollo aims to accelerate the development of its robotic hands and grippers through this collaboration while expanding its solution capabilities.
The DG-5F, launched in March 2025, is Tesollo’s latest product and features a structure mimicking human hand movements. The robotic hand is designed with 20 independently controlled joints, enabling highly precise and complex hand movements that closely mimic human actions.
Its dimensions match those of an adult male hand, making it well-suited for work environments designed for humans and capable of performing tasks that require natural, human-like motions. It supports various grip modes, including pinch, power, and precision grip, allowing it to easily handle objects of varying shapes, sizes, and weights.
Optional high-precision fingertip sensors enhance its dexterity by detecting contact, delivering force feedback, and adjusting grip pressure to prevent slippage and respond dynamically to environmental changes.
According to Tesollo, built from lightweight yet high-strength materials, the hand offers reliable performance even during repetitive or high-speed operations across diverse conditions. This gripper is suitable for a wide range of applications across industries. In smart factory environments, it enables automated assembly and object handling. In logistics, it supports efficient gripping and sorting.
Modular grip power
The DG-3F is an advanced 3-finger robot gripper with an advanced modular design, significantly improving durability and performance.
Powered by a high-performance BLDC motor, it delivers precise control and enhanced durability. The transition from aluminum to high-strength steel gears significantly boosts strength, allowing the gripper to withstand over 3 million operational cycles and deliver torque up to 2Nm. Its fully modular design ensures easy assembly and disassembly using simple bolts, enabling quick partial maintenance or component replacement without dismantling the entire unit.
Designed for operational flexibility, the gripper supports multiple modes, including Parallel Mode for standard gripping, Smooth Mode for delicate object handling, and continuous motion for natural, fluid movement. Additional features like target arrival recognition, post-grip position adjustment, and data backup enhance precision and reliability during complex tasks.
According to Tesollo, the gripper is suitable for various applications across industries. In smart factory environments, it enables automated assembly and object handling. In logistics, it supports efficient gripping and sorting. It also serves research institutions and service robots, offering precision control for advanced robotics and AI based automation studies.
Source: Interesting Engineering
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Robot hands with human-like grip get Nvidia backing to replace manual work worldwide