Seyond, a prominent global provider of high-performance LiDAR solutions, has announced its inaugural participation in the MODEX 2026 exhibition, where it will present its latest innovations in LiDAR technology designed to power Physical AI systems for next-generation robotics. The company will showcase its award-winning fully solid-state LiDAR, Hummingbird D1, alongside the breakthrough ultra-wide field-of-view Robin W LiDAR at Booth A4114, offering live demonstrations to visitors.
Revolutionary LiDAR Solutions for Autonomous Robotics
Making its debut at MODEX, the Hummingbird D1 series represents a fully solid-state LiDAR solution that has garnered industry recognition for its exceptional performance, reliability, and compact design. Engineered specifically for autonomous mobile robots (AMRs) and automated guided vehicles (AGVs), this robust, maintenance-free architecture ensures long-term stability and minimal downtime, which are critical factors in industrial automation deployments.
The Hummingbird D1 offers detection capabilities ranging from 0.01 to 50 meters, enabling precise close-range perception essential for complex tasks such as docking procedures, parking maneuvers, and pedestrian detection in densely populated environments. This technology represents a significant advancement in sensor technology for robotics applications where accuracy and reliability are paramount.
Enhanced Perception with Ultra-Wide Field Technology
Alongside the Hummingbird D1, Seyond will demonstrate the Robin W LiDAR, distinguished by its ultra-wide field of view that stands out in the industry for its unique vertical coverage capabilities. With detection ranging from 0.1 to 150 meters, the Robin W provides enhanced perception coverage particularly valuable for AMRs and AGVs operating in dynamic, multi-dimensional environments.
This technology proves especially beneficial for navigating complex warehouse settings, detecting obstacles at varying heights, and improving safety protocols in human-robot shared workspaces. Visitors to the Seyond booth will have the opportunity to witness the Robin W in action under simulated fog conditions, demonstrating its reliable perception performance even in challenging low-visibility environments.
Comprehensive LiDAR Portfolio for Unified Platform Solutions
Beyond individual product offerings, Seyond provides one of the industry's most complete LiDAR portfolios, spanning from short-range to ultra-long-range detection capabilities. This comprehensive sensing architecture enables robotics and autonomous system developers to build and scale Physical AI applications using a single, unified LiDAR platform.
Unlike traditional multi-vendor approaches that often introduce complications such as incompatible data formats, complex calibration requirements, and fragmented software integration, Seyond delivers a unified hardware and software platform that significantly reduces integration complexity and accelerates deployment timelines for robotics applications.
Domestic Manufacturing for Enhanced Reliability
Seyond operates one of the few automotive-grade capable LiDAR manufacturing facilities in the United States, producing BABA-compliant sensors suitable for publicly funded infrastructure projects. This domestic manufacturing approach strengthens supply chain reliability while enabling faster iteration cycles and customization options for customers across various industries.
"We're excited to exhibit at MODEX for the first time and connect with leaders in robotics and automation," stated Billy Ever, Vice President of Sales and Marketing at Seyond. "With Hummingbird D1, Robin W, and our full sensing portfolio, we're delivering a complete perception solution that helps AMRs and AGVs see more, understand more, and operate more safely and efficiently—even in challenging conditions."
The MODEX 2026 exhibition represents a significant platform for Seyond to demonstrate how its LiDAR technology portfolio addresses the evolving needs of the robotics and automation industry, particularly in applications requiring sophisticated perception capabilities for autonomous systems operating in complex environments.
