A high-resolution, multimodal vision-based tactile sensor designed to capture complete tactile information for precise force control, safe physical interaction, and dexterous robot manipulation.
Primary use case: Collecting embodied-interaction data for model training and enabling precise force control and dexterous robot manipulation.
Locomotion
unknown
Hand Type
none
Autonomy Level
unknown
AI Capabilities
High-resolution multimodal tactile perception, Real-world physical interaction data collection, Tactile-grounded world modeling, Physical cognition and predictive decision-making, Real-time dexterous manipulation
Availability
unknown
Primary Use Case
Collecting embodied-interaction data for model training and enabling precise force control and dexterous robot manipulation.
Robotics companies are continuously expanding into new markets. As a result, many businesses are setting up offices in multiple countries or hiring remote international workers to accommodate their growth. While this is helping robotics businesses scale their operations, it does come with its fair share of challenges. One of the biggest is managing payroll. So, […]
The supplied text is a The Robot Report homepage listing from October 2026 rather than the body of the "Pegasus 1.6 brings video understanding to physical AI, says TwelveLabs" article. The only Pegasus-related information is the headline attributing to TwelveLabs the claim that Pegasus 1.6 brings video understanding to physical AI; no specifications, personnel, pricing, or funding for that product or the target article appear. Other items on the page include a listed story about Kodama raising $7M for forestry robotics and Gecko Robotics securing a $300M contract with the U.S. Navy.
Daimon Robotics, a Shenzhen-based robotics company, has launched Daimon-TWM, a tactile-grounded world model designed to enable robots to interpret physical interactions such as force, friction, deformation, and slippage. The technology addresses a major limitation of current robotic manipulation, which relies primarily on machine vision. The article excerpt suggests further details follow beyond the visible text.