Engineered Vision
Westerville, Ohio automation builder; designs vision-guided robotic parts-feeding, assembly, test, and inspection systems for medical and aerospace lines.
Engineered Vision is a custom automation systems builder headquartered in Westerville, Ohio, operating as an in-house integrator that designs, builds, programs, and deploys its own equipment rather than subcontracting those stages to outside shops.
The company builds vision-guided robotic parts-feeding and assembly systems that combine SCARA robots, machine vision, and flexible feeders, along with custom assembly equipment for medical-device, aerospace, and pharmaceutical production lines. Its test-systems group builds functional, leak, electrical, and HiPot test stations, and its inspection systems use machine vision for automated defect detection and part verification. Engineered Vision also offers low-to-mid-volume CNC machining as a complementary service. Systems are deployed in food and beverage, consumer electronics, transportation, life science, and medical device manufacturing.
Primary type & automation activities this supplier delivers:
Flex Feeding and Assembly
Fully automatic vision-guided robotic assembly system with quick-change EOAT, top/bottom assembly, and end-of-line good-part/reject sorting.
Contact Engineered Vision
WEBSITE
https://engineered-vision.comHEADQUARTERS
United States
Company Facts
Founded
2017
Primary Role
Manufacturer
Company Size
employees 10-50
Primary Region
North America
Annual Sales
-
Funding Stage
Early-Stage VC
Funding Total
-
New 'SANDO' System Keeps UAVs Safe from Collisions in Wildfire Areas
The 'SANDO' system enhances the safety of uncrewed aerial vehicles (UAVs) by ensuring their flight paths remain collision-free, particularly in hazardous environments like wildfires. This technology is crucial as UAVs are often deployed to gather vital information in such dangerous situations, where they face risks from sudden flare-ups and falling debris. The importance of the 'SANDO' system lies in its ability to protect UAVs from potential damage during operations in uncharted territories. By avoiding collisions with obstacles such as tree branches, the system allows for safer data collection, which is essential for rescuers responding to wildfires. This advancement could significantly improve the effectiveness of UAVs in emergency response scenarios. Looking ahead, the implementation of the 'SANDO' system could lead to broader applications of UAVs in various challenging environments. As the technology develops, stakeholders will be keen to observe its impact on UAV operational safety and efficiency in disaster response efforts. No further timeline was disclosed at the time of publication.
Robotics
MIT Develops SANDO: A Collision-Free Navigation System for UAVs in Unknown Environments
MIT researchers have developed an autonomous navigation system named SANDO, designed for uncrewed aerial vehicles (UAVs) to navigate safely in unpredictable environments. This system ensures that UAVs can avoid collisions with unknown moving obstacles, which is crucial in high-risk scenarios like search and rescue missions or disaster response. The significance of SANDO lies in its ability to provide formal safety guarantees in dynamic environments, where traditional navigation systems fall short. Unlike existing planners that only work in static settings or lack formal guarantees, SANDO uses a mathematical approach to ensure collision avoidance, making it particularly valuable for applications requiring real-time adaptability. Looking ahead, the potential applications for SANDO are vast, including emergency medical supply deliveries and exploration in hazardous areas. As the technology matures, it could revolutionize how UAVs operate in complex environments, enhancing safety and efficiency. No further timeline was disclosed at the time of publication.
Research Computer science and technology Algorithms Drones Robotics Autonomous vehicles
TwelveLabs Launches Pegasus 1.6 for Enhanced Video Understanding in Physical AI
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Artificial Intelligence Artificial Intelligence / Cognition Assembly Human Robot Interaction / Haptics Manufacturing Microprocessors / SoC
Teledyne FLIR Introduces AI-Driven Air-to-Ground Tracking Software for UAS
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AI Applications C-UAS Defense defense Drone News
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Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Manufacturing News
Epson Showcases Color Labeling and Robotic Automation at PACK EXPO 2026
Epson has announced its participation in PACK EXPO International, scheduled from October 18 to 21, 2026, where it will demonstrate its ColorWorks® on-demand color label printers, collaborative robots, and vision technology. These innovations aim to enhance the efficiency of packaging and fulfillment operations. The introduction of ColorWorks printers allows manufacturers to produce high-quality, customized color labels on demand, addressing the growing need for flexibility in labeling processes. Coupled with robotic automation, these solutions are designed to streamline various tasks, including handling, inspection, and packaging, thereby improving overall productivity. As the event approaches, industry professionals should watch for how Epson's integrated solutions can transform labeling and packaging workflows. No further timeline was disclosed at the time of publication.
Automate 2027 | May 10–13, Las Vegas Convention Center
Automate 2027, May 10–13 at the Las Vegas Convention Center: A3's robotics and automation show moves to Las Vegas after a record 50,000+ registrants in 2026.
OpenAI's GPT-6 Astra Dominates SuperCLUE's Robot-Brain Benchmark with Planning Superiority
OpenAI's GPT-6 Astra achieved the highest overall score in SuperCLUE's September 2026 EmbodiedCLUE-VLA evaluation, leading with a score of 85.71 in interaction and planning. This score significantly surpasses the runner-up, Gemini-3.8-Flash, which scored 64.29, highlighting Astra's notable advantage in planning capabilities. The importance of this evaluation lies in its comprehensive assessment of ten models, which includes basic perception, visual reasoning, interaction, planning, and embodied safety. SuperCLUE's report indicates that while Astra leads in overall performance, the evaluation's fixed input/output protocol may limit the generalization of results across different tasks and protocols, making it a useful but narrow comparison of each model's capabilities. Looking ahead, the next critical aspect to observe is how these models perform in real-world scenarios, particularly in executing plans and adapting to unforeseen circumstances. The results from physical trials will be essential to determine the practical applications of these models in robotics, beyond the theoretical scores presented in this benchmark.
OpenAI China
Robotics and Physical AI Addressing Key Physical Security Challenges in 2026
In 2026, over $23 billion has been invested in enhancing the integration of robotics and artificial intelligence for physical security. This investment aims to address the increasing complexity of threats against critical infrastructure, such as data centers and manufacturing plants. The adaptive capabilities of these technologies are essential for organizations to protect their assets effectively. The intersection of cybersecurity and physical protection presents new challenges, as demonstrated by the Jaguar Land Rover incident, where cyber breaches led to significant operational disruptions. Organizations must adapt to a rapidly changing security landscape, where legacy systems can exacerbate vulnerabilities. The need for proactive security measures is more pressing than ever, particularly in critical industries. At GTC Taipei 2025, companies like Foxlink showcased innovations such as the “robot dog,” designed to enhance physical security through adaptive functions and smart sensors. This technology represents a shift towards a more proactive security environment, enabling organizations to respond to complex threats effectively. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Automotive Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Manufacturing
PTC Onshape at IMTS 2026: AI That Writes Its Own CAD Tools
PTC's Darren Henry shows Onshape's FeatureScript MCP Server turning a supplier PDF into a parametric CAD tool in 34 minutes, and what it means for robots.
Safety Considerations Will Shape the Future of Humanoid Robots
In a recent discussion, Rick Balzano, Vice President of Go-to-Market for AI Services, Safety and Robotics at TaskUs, highlighted the critical work required to make humanoid robots reliable. He emphasized that unlike large language models, which operate on digital data, humanoid robots must navigate and interact with the physical world, necessitating extensive real-world data collection and validation. Balzano pointed out that while humanoid robots are often marketed as versatile workers, they currently remain highly specialized machines disguised in human-like forms. He noted that significant advancements have been made in areas such as locomotion and perception, but the gap between demonstration and real-world application is substantial, often involving controlled environments and remote assistance. Looking ahead, the industry must focus on bridging this gap to enhance the reliability of humanoid robots. Balzano's insights underscore the importance of safety and data integrity in developing robots that can operate effectively in diverse environments. No further timeline was disclosed at the time of publication.
AI and Robotics Innovation
Ouster and Seneca Enhance Wildfire Drones with Advanced 3D LiDAR Technology
Ouster and Seneca have partnered to integrate Ouster’s Rev8 OS1 Max digital LiDAR into Seneca’s autonomous wildfire-response drones. This collaboration aims to enhance the drones' ability to perceive and navigate challenging environments, particularly during wildfires where visibility is often compromised. The integration of LiDAR technology allows Seneca's drones to create detailed 3D representations of their surroundings, improving their operational capabilities in various missions such as cargo delivery, terrain mapping, and infrastructure inspection. The Rev8 OS1 Max sensor, known for its high resolution and range, provides critical information for obstacle detection and flight path adjustments, essential for safe autonomous operations. As the demand for autonomous aircraft in emergency response grows, the partnership underscores the importance of advanced perception systems in ensuring safety and efficiency. No further timeline was disclosed at the time of publication.
News
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FUTURE WARFARE | Land - Unmanned Ground Vehicles — From Logistics Mules to Front-Line Robots
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CONSTRUCTION ROBOTICS | Surface Finishing & Painting
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Humanoid Robots Are Entering Warehouses — and Unions Are Pushing Back
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Nuclear Robotics Task Specific Machines Vs Humanoid Hype
Compare task-specific nuclear robots with humanoid designs: what works best for real-world radiation tasks, safety trade-offs, and deployment readiness.
The Emerging Debate on Physical AI
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China's Robotic Lawn Mower Market Set to Surge Driven by Technological Advancements
China’s robotic lawn mowers are reshaping a $10B global market. Wire-free RTK, lidar, and AI models drive exports, cut costs, and challenge legacy brands worldwide.
ATI Motors Launches Sherpa Mecha: The World's First Pragmatic, Industrial Humanoid for the Factory Floor
Ati Motors introduces Sherpa Mecha, a practical industrial humanoid robot designed to handle real factory tasks with AI‑driven precision and durability.
