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ByteDance Launches VLA General-Purpose Robot Model GR-3 Supporting High Dexterity Operations

Recently, ByteDance's Seed team officially launched a new Vision-Language-Action Model (VLA) called GR-3. This model demonstrates breakthrough capabilities in the field of robotic manipulation, not only understanding language instructions that include abstract concepts, but also precisely handling flexible objects. It also has the ability to generalize quickly to new tasks and recognize new objects. This achievement is seen as an important advancement toward a 'general-purpose robot brain'. Traditional robotic manipulation models often rely on large amounts of robotic trajectory data for training.

7.8k 12 hours ago

ByteDance Launches VLA General-Purpose Robot Model GR-3 Supporting High Dexterity Operations

Want to Make Robots Smarter? Tsinghua Team Discovers the Secret to Accelerated Robot Learning

The rapid development of deep learning relies on the scale of datasets, models, and computational power. In the fields of natural language processing and computer vision, researchers have already discovered a power-law relationship between model performance and data scale. However, in the field of robotics, especially in robot manipulation, such scalable patterns have yet to be established. A research team from Tsinghua University recently published a paper exploring data scaling laws in robot imitation learning and proposed an efficient data collection strategy that collected sufficient data in just one afternoon, enabling...

11.6k 1 days ago

Want to Make Robots Smarter? Tsinghua Team Discovers the Secret to Accelerated Robot Learning

Robotic Hand Breaks Limits: Mechanical Hand Can Separate from Arm, Climb onto Objects, and Pick Them Up

Recently, a study from the Swiss École Polytechnique Fédérale de Lausanne (EPFL) made its debut at the IEEE International Conference on Robotics and Automation in Rotterdam. This research aims to explore how robotic hands can break existing limitations to grasp more objects. The research team noted that deep learning models significantly enhanced the dexterous manipulation capabilities of multi-fingered hands, but the grasping guided by contact information in cluttered environments has not yet been fully explored. To address this issue, the researchers designed an inspired hand that can bend backward to pick up various objects and detach itself to climb.

10.2k 9 hours ago

Robotic Hand Breaks Limits: Mechanical Hand Can Separate from Arm, Climb onto Objects, and Pick Them Up

Sci-Fi Meets Reality: Open-TeleVision Enables Remote Robot Control

Researchers from the University of California, San Diego, and the Massachusetts Institute of Technology have developed a project called Open-TeleVision, which sounds pretty cool. This thing is an open-source remote operating system that boasts the ability to easily control robots from 3,000 miles away, allowing precise manipulation of various objects, just like the high-tech scenes in the movie "Avatar".Firstly, let's talk about the adaptability of this system, which is truly unmatched. With any

11.5k 6 hours ago

Sci-Fi Meets Reality: Open-TeleVision Enables Remote Robot Control

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HOMIEtele

HOMIEtele is a novel teleoperation system for humanoid robots, integrating human motion capture with a reinforcement learning training framework to achieve precise walking and manipulation tasks.

Robot

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