Vision and Control Systems, LLC
"Making automation, robots, machine vision and barcode reading work."
Full-service US automation integrator specializing in machine vision, robot integration, motion control, and PLC programming for manufacturers.
Vision and Control Systems, LLC (VCS) is a full-service industrial automation integrator founded in 2011 and headquartered in Springfield, New Jersey (54 Fadem Rd, Springfield, NJ 07081), with a second facility in Greenville, South Carolina to serve the Southeast's growing automation market. The company was established by a team of mechanical, electrical, and software engineers who average nearly a decade of hands-on automation experience each. VCS provides end-to-end design, installation, and programming services across four core practice areas: machine vision, robot integration and controls, motion control, and PLC/HMI panel build.
In machine vision, VCS handles quality inspection, precision measurement, part assembly verification, robot guidance, 3D inspection, linescan imaging, deep-learning algorithms, OCR/OCV, high-speed image acquisition, and SWIR imaging. In robotics, VCS is a certified integrator for both FANUC industrial robots and Universal Robots collaborative arms, building solutions that tightly couple vision guidance with robotic pick-and-place, assembly, palletizing, and material handling. Additional automation capabilities include servo-based motion control and custom PLC programming for PLCs from Rockwell Automation, Siemens, and others.
VCS has delivered successful projects across consumer products, pharmaceutical, medical devices, automotive, food and beverage, electronics, logistics, and packaging industries. The firm is a member of A3 (Association for Advancing Automation) and is listed on the Automate industry directory. President Brad Steele leads the company, which has grown steadily from its New Jersey base to support customers across the entire U.S. East Coast and beyond.
Primary type & automation activities this supplier delivers:
Machine Vision Inspection Systems
Vision systems for quality inspection, measurement, OCR and 3D inspection.
Robot Integration & Controls
Vision-guided robotic integration with FANUC and Universal Robots.
Motion Control Systems
Motion control solutions for automated equipment.
PLCs, Machine Controls & Panels
PLC programming, machine controls and control panel builds.
Contact Vision and Control Systems, LLC
WEBSITE
https://www.visionandcontrolsystems.com/PHONE
(908) 686-9400HEADQUARTERS
United States
Company Facts
Founded
2011
Primary Role
System Integrator
Company Size
-
Primary Region
North America
Annual Sales
-
Funding Stage
-
Funding Total
-
Certifications & Memberships
Aetina Launches AIE-KT78 and AIE-KT68 for Advanced AI in Robotics Control
Aetina Corporation has announced the general availability of its DeviceEdge AIE-KT78 and AIE-KT68 edge AI systems. These systems support local multimodal generative AI, LLM, VLM, and VLA model execution, enabling seamless integration with high-resolution sensors, motors, joints, and actuators through high-bandwidth interfaces and EtherCAT control. The introduction of these systems is significant as they are powered by NVIDIA Jetson Thor and utilize the NVIDIA Blackwell architecture, providing high-performance AI compute and deterministic industrial control. This makes them ideal for Collaborative Robots (Cobots), humanoid robots, and next-generation autonomous machines, enhancing their ability to perceive, reason, decide, and act in real-world environments. Looking ahead, the focus will be on how developers leverage the capabilities of the AIE-KT78 and AIE-KT68 systems to create more sophisticated robotic applications. No further timeline was disclosed at the time of publication.
Arm Launches Total Design for Physical AI, Uniting Over 80 Developers in Robotics
Arm Holdings PLC has introduced Arm Total Design for Physical AI, a program that unites over 80 companies involved in the physical AI technology stack. This initiative aims to foster collaboration among participants in the physical AI space, addressing challenges in perception, AI, real-time control, and safety. The significance of this program lies in its potential to streamline the fragmented robotics industry, which often sees companies struggling to collaborate effectively. Dermot O’Driscoll, vice president at Arm, emphasized the need for a cohesive ecosystem where technology and ideas can be shared, enhancing the development of interoperable systems. Looking ahead, Arm's Robotics Capability Framework will categorize robotic systems into six levels of sophistication, from basic reactive robots to advanced systems that learn and self-optimize. Arm is seeking industry feedback to refine these levels, indicating a commitment to evolving the understanding and capabilities of robotics in the market.
Artificial Intelligence Artificial Intelligence / Cognition Automotive Design / Development Development Tools / SDKs / Libraries Markets / Industries
York University Develops CBS Algorithm to Enhance Humanoid Robot Depth Perception
Researchers from York University have introduced the Convergent Binocular Stereo (CBS) algorithm to improve depth perception in humanoid robots. This innovative approach utilizes the movement of the robot's eyes, allowing them to converge on a target while calculating depth based on camera orientation and disparities in the images. This method significantly outperforms traditional depth learning techniques, especially in complex visual scenarios. The advancement is crucial as humanoid robots increasingly rely on sophisticated vision systems to navigate and interact with their environments. By integrating eye movement into depth calculations, the CBS algorithm addresses a long-standing challenge in robotic vision, enhancing the robots' ability to perceive three-dimensional spaces accurately. Looking ahead, the implementation of the CBS algorithm could lead to more advanced humanoid robots capable of better depth perception and spatial awareness. No further timeline was disclosed at the time of publication.
Humanoid Robots Vision Systems Depth Perception Robotics Research
KAIST's Urban Robotics Lab Achieves Top Honors in International Navigation Challenges
KAIST's Urban Robotics Lab secured first and second place in two prestigious international robot navigation challenges. The team developed an AI system that enables robots to self-verify their decisions, ensuring they reach the correct destination. This innovative self-checking technology was instrumental in their success at the competitions held in Malmo, Sweden, and Sydney. The significance of this achievement lies in the advancement of embodied artificial intelligence, which allows robots to better understand human instructions and navigate complex environments. By addressing common navigation errors, such as misidentifying destinations, KAIST's technology enhances the reliability of robotic systems in real-world applications. The competitions were part of the European Conference on Computer Vision 2026 and Robotics: Science and Systems 2026, highlighting the importance of AI in robotics. Looking ahead, the focus will be on further refining the CoRe-VLN system, which utilizes AI to analyze visual and textual data for improved navigation accuracy. No further timeline was disclosed at the time of publication.
All News
Leopard Imaging to Present Cutting-Edge Embedded Vision Technologies with Future Electronics at World of Technology & Science 2026
Leopard Imaging will exhibit its advanced embedded vision technologies alongside Future Electronics at Booth 9A043 during the World of Technology & Science 2026. The showcased technologies will include stereo vision, thermal imaging, high-performance camera systems, and ultra-compact imaging solutions. This event is significant as it highlights Leopard Imaging's commitment to innovation in embedded vision, catering to various sectors such as robotics, autonomous systems, industrial automation, AIoT, and edge AI applications. The collaboration with Future Electronics underscores the importance of partnerships in advancing technology solutions. Attendees should look for demonstrations of Leopard Imaging's latest offerings, which are designed to enhance performance in critical applications. No further timeline was disclosed at the time of publication.
QBit Semiconductor Reveals Robotics and Drone Chipset Roadmap for Physical AI Control
QBit Semiconductor, a Taiwan-based fabless IC design leader, announced its roadmap for robotics and drone chipsets at SEMICON Taiwan 2026. This initiative focuses on integrating Physical AI control capabilities, particularly through their QB88XX series, which includes advanced motion control and image processing technologies. The unveiling of this roadmap is significant as it positions QBit Semiconductor to capitalize on the growing demand for Physical AI applications in robotics and drone markets. By targeting these sectors, the company aims to enhance the functionality and efficiency of robotic systems and drones, leveraging their expertise in high-end image processing and motion control. Looking ahead, industry stakeholders should monitor QBit Semiconductor's developments in the QB88XX series and its impact on the Physical AI landscape. No further timeline was disclosed at the time of publication.
Top Group and Yuan Sheng Technology Establish Strategic Partnership for Tactile Perception Development
Top Group and Yuan Sheng Technology have signed a strategic cooperation agreement to collaborate on embodied intelligent perception and execution capabilities. This partnership aims to enhance the core technologies of tactile perception for dexterous hands and accelerate the commercialization of embodied intelligence. Previously, in August, Top Group made a strategic investment in Yuan Sheng Technology, marking a shift from financial investment to technical collaboration. Yuan Sheng Technology focuses on tactile infrastructure for embodied intelligence, developing an integrated technology system that includes tactile sensors, data collection, and hardware-software architecture. Their multidimensional tactile technology is characterized by high density, thinness, and the ability to perceive various forces, applicable in scenarios such as dexterous hands and humanoid robots. The company has achieved reliable mass production of automotive-grade tactile sensors, which are now being delivered to well-known clients in robotics and data collection. Top Group has established a dedicated robotics actuator division to enhance its capabilities in core hardware areas such as dexterous hands and precision components. The combination of Top Group's actuators and Yuan Sheng's sensors is crucial for achieving the precise feedback required for delicate operations. The focus of their collaboration is to accelerate the commercialization of embodied intelligence, and it remains to be seen if this partnership can produce replicable delivery cases in practical applications.
Tactile Sensors Embodied Intelligence Robotics Automation Sensor Technology
York University Enhances Humanoid Robot Depth Perception with Eye Movement Integration
York University has made significant advancements in humanoid robot vision by integrating eye movement into depth perception. Their research, published in 'Science Robotics', demonstrates that the geometric information generated by eye movements can enhance a robot's understanding of the three-dimensional world. This approach, termed Convergent Binocular Stereo (CBS), allows robots to calculate depth by using the rotation of their cameras to focus on the same target, improving accuracy in depth perception. The importance of this development lies in its potential to overcome limitations in traditional robotic vision systems, which often rely on fixed parallel camera setups. By enabling robots to utilize both horizontal and vertical disparities in visual data, CBS provides a more nuanced understanding of spatial relationships. The study shows that CBS outperforms several conventional and deep learning methods in various scenarios, particularly in cases with repetitive patterns where traditional algorithms struggle. Looking ahead, the research highlights challenges that remain before CBS can be effectively implemented in real-time robotic applications. Current processing times are too slow for immediate perception, and the system's accuracy is sensitive to motor precision and camera calibration. Future work will focus on optimizing the algorithm, enhancing motor accuracy, and addressing the issue of determining the next point of focus, which is crucial for mimicking human-like vision in robots.
Humanoid Robots Depth Perception Computer Vision Robotics Research
Innovation Works Venture Expo 2026: 58 Pittsburgh Startups Pitch to Investors
58 health, deep tech and robotics startups pitched at Innovation Works Venture Expo 2026 in Pittsburgh. Full company list, program and 2025 funding data.
AEye and AB Swiftstrike AI Collaborate on Long-Range Lidar for Drone Detection
AEye and AB Swiftstrike AI are partnering to integrate AEye's STRATOS lidar into Swiftstrike's autonomous counter-drone systems. This collaboration aims to enhance the detection of small aerial threats that operate without conventional radio signals, extending the detection range to nearly one mile. The integration of STRATOS, which boasts more than double the resolution of AEye's Apollo lidar, is significant for identifying small drones. Higher resolution allows for better differentiation between actual aerial targets and surrounding objects, providing precise information on their position and movement. As drone technology evolves, electronic detection becomes increasingly challenging. The STRATOS sensor's ability to actively measure objects using laser pulses offers a viable solution, even when drones do not emit electronic signatures. No further timeline was disclosed at the time of publication.
Military
Durham University Develops Advanced Drone Navigation System for Safer Flight in Crowded Spaces
Researchers at Durham University have created an innovative drone navigation system that allows autonomous aircraft to navigate through cluttered environments more efficiently. This advancement enhances the speed, smoothness, and safety of drone operations in areas filled with obstacles. The significance of this development lies in its potential applications, including search and rescue missions, infrastructure inspections, and environmental monitoring. By improving drone navigation, this system opens up new opportunities for various industries that rely on aerial technology. Looking ahead, the impact of this navigation system could transform how drones are utilized in complex environments. No further timeline was disclosed at the time of publication.
Robotics
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
Software, Compute and Interaction at WRC 2026
47 WRC 2026 exhibitors supply robot software, compute or interaction — but only 19 call themselves software companies. Five open artefacts, licence-checked.
ROBOTTODAY WEEKLY BRIEFING August 24 – 28, 2026
This week in robotics: XPeng's Dogotix raises over $900 million at a $6.3 billion valuation, Unitree's post-IPO slump revives bubble talk, Beijing's World Humanoid Robot Games close with a shift to real-world tasks, and Teradyne sues JAKA at Europe's Unified Patent Court. August 24–28, 2026.
WRC 2026 Core Components: 137 Robot Parts Suppliers
The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.
WRC 2026 Robot Systems: 149 Companies That Build Robots
149 of the 248 classified WRC 2026 exhibitors build finished robots. 93 build humanoid or legged machines. The audited humanoid sales number is one unit.
Handbook of Marine Craft Hydrodynamics and Motion Control Thor I. Fossen — RSF Specialist Shelf · Book S1 of 6
Added mass, wave loading, DVL navigation: the marine GNC reference for USV, ROV and AUV service engineers. The hardest book on the RSF list, 5/5.
Underactuated Robotics Russ Tedrake — RSF Specialist Shelf · Book S3 of 6
Legged robots fall over for control reasons, not mechanical ones. Tedrake's free MIT 6.832 notes explain why, and what a controller must do about it.
Small Unmanned Aircraft: Theory and Practice Beard & McLain — RSF Specialist Shelf · Book S2 of 6
Beard & McLain derive the fixed-wing autopilot the RSF Top 10 never does: successive loop closure on roll, pitch, altitude and airspeed. 4/5.
Planning Algorithms Steven M. LaValle — RSF Specialist Shelf · Book S4 of 6
The reference that treats planning as a subject in its own right: configuration space, sampling-based methods, RRT. Free online, dual difficulty 4/5-2/5.
