소개
San Diego maker of vision-guided agricultural machines: the VR Lettuce Thinner and the patented VR Cultivator inline weeder.
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관련 뉴스
LG Innotek Shows Humanoid Vision Sensors With NVIDIA
LG Innotek showed a 3 million pixel camera and a multimodal vision system using NVIDIA Holoscan Sensor Bridge at GTC Berlin, and said the work will extend to humanoid robots and robot hands.
JLS Automation Launches AI Vision System for Chaotic Packaging Lines
JLS Automation debuted JLS Vision AI at PACK EXPO International 2026, an AI vision system that lets its robots pick overlapping food packages straight off the line without separate sorting hardware.
ABB Launches Two Precision Robots, AI Vision Trainer at CIIF 2026
ABB Robotics introduced the compact IRB 1700 and IRB 1700ID precision robots and added an AI Robot Trainer capability to its OmniCore EyeMotion vision system at CIIF 2026 in Shanghai, targeting faster cycle times and sharply shorter vision-system commissioning.
Luxonis Puts Five Cameras on One Board for Robots That Don't Fit a Single Lens
Luxonis has launched the OAK 4 FFC, a board-level vision computer that connects up to five camera modules for humanoids and drones, pairing self-calibrating multi-camera perception with robotics-grade connectivity at startup-friendly prices.
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Realbotix Opens Echo Robot Reservations for 2027
Realbotix opened reservations for 250 planned Echo social robots. Hardware, metered AI plans and optional local vision have separate prices; U.S. delivery is expected in the second half of 2027.
Eka Robotics Raises US$150 Million to Teach Robot Hands to Feel
Cambridge startup Eka Robotics raised a US$150M Series A led by a16z and F-Prime for its force-sensing "Vision-Force-Action" manipulation model, betting touch, not more vision data, is what's missing from robotic grasping.
관련 아티클
NEURA Robotics Bets the Brain, Not the Body, Is the Real Robotics Product
NEURA Robotics has introduced Neuron AI, a multimodal foundation model fusing vision, touch, audio, robot state and memory across five robot embodiments, staking out a vertically integrated position in the global race to build a general-purpose physical AI brain, with a live test planned at NVIDIA GTC Berlin 2026.
Humanoid Robot Soccer Just Became the Industry's Most Honest Benchmark
A Tsinghua-led team published a reinforcement learning controller in Science Robotics that fuses vision and motion on Booster T1 humanoids, cutting ball-tracking error 46 percent and reaching a 90 percent kick rate with zero real-world fine-tuning. The platform math underneath matters as much: Booster hardware now carries most of competitive robot soccer, and the training method points at every dynamic task humanoids will face.
How Robots Learn to Move, and Why Action Tokenization Is the Quiet Bottleneck in Physical Intelligence
Vision Language Action models can read a scene and follow an instruction, but they still have to turn that understanding into smooth, continuous motion. The method that bridges language and motor control is called action tokenization, and it has quietly become one of the most consequential design choices in robot learning.
Technological Impacts to Watch: Safety Architectures and Logistics Deployments
The upcoming week in the Automation, Robotics, and Physical Intelligence (ARPI) sector is defined by two major technological shifts moving from the lab to the factory floor. First, NVIDIA's announcement of Halos for Robotics introduces the industry's first full-stack safety architecture, addressing the critical bottleneck of safe human-robot collaboration. Second, BMW's deployment of the Figure 03 humanoid robot at its Spartanburg plant marks a transition from simple part-loading to complex logistics sequencing, demonstrating the maturation of Vision-Language-Action (VLA) models in real-world industrial environments.
Global Ex China Embodied AI and Humanoid Robotics Market Report 2026
The global humanoid robotics market outside of China is bifurcating into hardware and intelligence platforms. While China dominates physical unit shipments, Western nations are competing aggressively on artificial general intelligence for the physical world through Vision Language Action models.
Ai2's ToyBlocks Benchmark Exposes How Little Robot Policies Actually Generalize
Ai2's own numbers show its generalist, reasoning robot policy solving half of real-world block tasks versus 81% for a narrow specialist model, a benchmark procurement teams should weigh against vendor claims of general-purpose robot intelligence.
제조 로봇: VISION ROBOTICS
주요 이정표
| 연도 | 이벤트 | 출처 |
|---|---|---|
| 1999 | Vision Robotics 설립 | — |
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