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China's Kepler Robotics shared a video of its Forerunner K2 humanoid with next-gen hands With an 11-DOF, each 'NimbleMaster' hand can handle a 15 kg payload It also has a 25-element tactile sensing matrix per finger to better grasp different objects

16,440 просмотров • 1 год назад •via X (Twitter)

Комментарии: 16

Фото профиля Brett Adcock
Brett Adcock1 год назад

OpenAI added native image generation to GPT-4o and Sora The move creates an integrated system, where ChatGPT understands conversation context and creates/edits visuals with precision Rolling out to Free, Plus, Pro, and Team users

Фото профиля Brett Adcock
Brett Adcock1 год назад

Big Figure update: our humanoids can now walk naturally like humans! We introduced an end-to-end neural network for sim-to-real actions—tapping RL and a high-fidelity physics simulator to enable Figure 02 to walk with a smoother gait and increased speed

Фото профиля Brett Adcock
Brett Adcock1 год назад

Alibaba's Qwen team dropped two new AI models: —Qwen2.5-Omni-7B for processing across text, audio, image, and video in real-time —QVQ-Max to analyze and reason about visual information across images and videos, including blueprints and geometry problems

Фото профиля Brett Adcock
Brett Adcock1 год назад

Ideogram released v3.0 of its image generation model The model outperforms Imagen 3, Flux Pro 1.1, and Recraft V3—excelling at complex layouts, logos, and typography Also supports style references to control generations with access to free users

Фото профиля Brett Adcock
Brett Adcock1 год назад

Reve emerged from stealth with Reve Image 1.0 (in preview) The model ranks #1 in Image Arena, outperforming Imagen 3, Midjourney v6.1, and Recraft V3 It shows impressive prompt adherence and long text rendering—with natural language editing!

Фото профиля Brett Adcock
Brett Adcock1 год назад

Microsoft 365 introduced two new thinking-capable AI agents to help users with workplace tasks: —Researcher: To research reports using different knowledge sources, including the web —Analyst: To extract insights from data, much like data analysts

Фото профиля Brett Adcock
Brett Adcock1 год назад

Perplexity launched answer modes The feature enhances AI searches on specific verticals (like travel and shopping) with entities like images, videos, and cards Each mode will support commercial transactions, allowing users to act right where they are!

Фото профиля Brett Adcock
Brett Adcock1 год назад

Tencent released Hunyuan T1, a reasoning AI that uses the industry's first Transformer-Mamba architecture The hybrid model matches or surpasses DeepSeek R1 and OpenAI’s o1 & GPT 4.5, with 2x faster speed Priced at $0.14 and $0.55 per million I/O tokens

Фото профиля Brett Adcock
Brett Adcock1 год назад

DeepSeek released an updated version of its V3 model —V3-0324 is a 641GB model but capable of running on high-end PCs —Promises a major boost in performance across the board —Uses MoE, activating only 37B params/token —Open-source under MIT

Фото профиля Brett Adcock
Brett Adcock1 год назад

South Korean researchers developed a gummy-like robot using water droplets coated with Teflon particles PB can shape-shift, pick up debris, move across water, and merge with another similar robot

Фото профиля Brett Adcock
Brett Adcock1 год назад

We're hiring for hundreds of roles @Figure_robot: > AI Engineers (many) > Staff Security Engineer > HMI Design Lead > System Integration & Test (many) > Legal (many) > Manufacturing (many) Apply here:

Фото профиля Brett Adcock
Brett Adcock1 год назад

That's it for this week's AI and Robotics breakdown. I share the latest research every week, so follow me @adcock_brett for more. If you found this valuable, consider a like/retweet to spread the word.

Фото профиля AndaSeat
AndaSeat1 год назад

🎯 Holds breath in sniper mode... 🎮 X-Air Pro's clutch features: 💨 Breathable mesh for sweaty 1v5 moments 🔫 Perfect height for that winning headshot ⚡ 5D armrests for precise aim control 😅 "Why did I solo queue" comfort mode 🎯 For those who main AWP and live dangerously! 🪑✨ Aim better: 🎪 Headshot deal: Snipe $20 off! #AndaSeat #CSGO #Valorant #ESports #Gaming

Фото профиля AGI-Race
AGI-Race1 год назад

How does that compare to F.03?

Фото профиля XCecil
XCecil1 год назад

Fingers are always hard for AI. It’s like it’s thinking “why are there so many of them?” Maybe there’s a better design.

Фото профиля Relic 🚀
Relic 🚀1 год назад

with Figure v2 at 25 kg per hand, what is your target kg per hand longterm? and can they lift items together? looking to plant lots of trees 🌲 🌲

Похожие видео

Sharpa Robotics just dropped a new hand video and the level keeps going up. This is the Sharpa Wave running WM Craftnet on a human scale fivefinger hand with 22 active DoF. The policy combines wrist depth, tactile sensing, proprioception and previous actions. The hand can rotate different objects in-hand, recover after external pushes and continue manipulating objects it was never trained on. The numbers are strong. 175/200 successful real-world rotation trials across 20 objects. A world-model prior trained on 9 objects was transferred to 49 new objects. Fall rate went from 6% to 0.3%. The Wave hardware itself has 22 actuators, up to 20 N fingertip force, 240×240 tactile sensing at up to 180 fps and 0.02 N pressure sensitivity. What caught my attention is the recovery behavior. The fingers keep changing contact points after the object slips or gets pushed instead of replaying the same finger motion. That is the kind of dexterity I want to see more of in robotic hands. According to Sharpa’s current specifications: • DTA tactile sensors on the fingers with a resolution of up to 240 × 240 • Pressure detection • Slip detection • Force change detection • Contact point localization • 6-axis force and torque measurement: Fx, Fy, Fz, Mx, My, Mz • Tactile sensing at up to 180 fps • 20 ms reported latency • Force detection range from 0 to 30 N • Maximum sensor load of 50 N • Sharpa also describes a miniature camera integrated into each fingertip for visuo-tactile sensing.

Techniahqrobot | humanoid robots

13,474 просмотров • 8 дней назад