Key Takeaways
- iCatch Technology unveiled the Physical AI Sensor Bridge (PAISB), an HSB‑aligned Imaging ASIC designed to streamline multi‑sensor data ingest for Physical AI platforms.
- PAISB offloads sensor synchronization, ingest, and image processing to hardware, delivering deterministic, low‑latency data flow to NVIDIA GPU ecosystems.
- Two demonstrators will be shown at COMPUTEX 2026: the PAISB‑E1 (1 GbE) for stereo vision in smart actuators and dexterous robots, and the PAISB‑E10 Proto‑ES (10 GbE) for Tele/Wide imaging with Electronic Image Stabilization (EIS) in humanoid robots and factory‑simulation servers.
- By abstracting sensor‑level complexity, PAISB lets AI developers concentrate on model innovation and system‑level applications, positioning iCatch as a pivotal enabler within the NVIDIA Holoscan stack.
- iCatch invites partners and developers to visit Booth #R0826 at the Nangang Exhibition Center (Hall 2, 4F) from June 2‑5, 2026, to experience live demos and explore collaboration opportunities.
Introduction to iCatch Technology and PAISB at COMPUTEX 2026
iCatch Technology, a leader in imaging ASIC design, announced its newest innovation, the Physical AI Sensor Bridge (PAISB), at COMPUTEX 2026 held in Taipei from June 2‑5. The company will showcase PAISB solutions at Booth #R0826 in the Nangang Exhibition Center, Hall 2, 4F. PAISB is positioned as the first HSB‑aligned Imaging ASIC specifically engineered to meet the stringent demands of Physical AI—an emerging class of AI systems that tightly couple perception, actuation, and control in robotics, autonomous vehicles, and industrial automation. By presenting PAISB at one of the world’s premier technology expos, iCatch aims to demonstrate how its hardware can accelerate the deployment of next‑generation AI‑driven systems while reducing integration friction for developers.
Challenges in Physical AI Sensor Integration
Developers building Physical AI platforms routinely grapple with three intertwined challenges: multi‑sensor synchronization, high‑bandwidth data ingest, and continual image‑quality tuning. Synchronizing streams from cameras, LiDAR, inertial measurement units, and other modalities requires precise time‑alignment; any jitter can degrade perception accuracy and destabilize control loops. Simultaneously, the raw data volume from high‑resolution, high‑frame‑rate sensors can overwhelm host processors, consuming valuable compute cycles that could otherwise be devoted to AI inference. Finally, achieving consistent image quality across varying lighting, temperature, and vibration conditions often necessitates elaborate firmware adjustments and calibration routines. These complexities divert engineering effort away from core AI model development, slowing time‑to‑market and increasing system cost.
Technical Architecture of PAISB
PAISB addresses these pain points by integrating a dedicated, hardware‑accelerated imaging pipeline directly onto an ASIC that conforms to the Host Sensor Bridge (HSB) specification. The chip performs sensor ingest, frame‑level synchronization, and real‑time image processing—including demosaicing, noise reduction, lens distortion correction, and, where applicable, Electronic Image Stabilization (EIS)—before presenting a clean, time‑aligned data stream to the host GPU. Because these functions are executed in silicon rather than software, latency is deterministic and typically sub‑millisecond, ensuring that the perception layer receives tightly coordinated frames. By offloading these tasks, PAISB frees GPU resources for AI model inference, sensor‑fusion algorithms, and closed‑loop control, thereby enabling developers to focus on higher‑value innovation rather than low‑level sensor plumbing.
PAISB‑E1 (1 GbE) Demonstration and Applications
At COMPUTEX 2026, iCatch will debut the PAISB‑E1 variant, which operates over a 1 Gigabit Ethernet interface. This platform is tailored for stereo vision applications that demand precise depth perception and rapid responsiveness—key requirements for smart actuators and dexterous robotic manipulation. In a live demo, the PAISB‑E1 will feed synchronized left‑right image pairs to an NVIDIA Jetson Orin‑based controller, enabling real‑time disparity calculation and grasp‑point estimation for a robotic hand handling delicate objects. The 1 GbE link provides sufficient bandwidth for full‑HD stereo at 60 fps while keeping power consumption low, making the solution ideal for edge‑deployed robots where thermal and energy budgets are constrained. By guaranteeing frame‑level alignment, the PAISB‑E1 eliminates the perceptual lag that can cause overshoot or instability in force‑feedback control loops.
PAISB‑E10 Proto‑ES (10 GbE) Demonstration and Use Cases
Complementing the 1 GbE offering, iCatch will present the PAISB‑E10 Proto‑ES, a 10 Gigabit Ethernet version equipped with integrated Electronic Image Stabilization (EIS). This platform targets more data‑intensive scenarios such as humanoid robot edge platforms and robotic factory simulation servers, where wide‑field‑of‑view telephoto lenses and high‑frame‑rate imaging are essential. In the demonstration, the PAISB‑E10 Proto‑ES will stream stabilized tele‑wide video to an NVIDIA Holoscan‑enabled server running a digital twin of a manufacturing line. The EIS component compensates for mechanical vibrations and actuator jitter, preserving image fidelity for downstream tasks like anomaly detection, pose estimation, and motion planning. The 10 GbE interface comfortably supports 4K video at 120 fps with ample headroom for additional sensor modalities (e.g., event‑based cameras or depth sensors), illustrating PAISB’s scalability for complex, multi‑modal Physical AI systems.
Strategic Implications and Industry Impact
Weber Hsu, President of iCatch Technology, emphasized that PAISB represents a pivotal milestone in the company’s Physical AI platform strategy. “As the first HSB‑aligned Imaging ASIC, PAISB enables AI developers to focus on model innovation by abstracting sensor‑level complexity,” Hsu stated. “We are committed to building the sensor infrastructure layer that accelerates Physical AI deployment across robotics and autonomous systems.” By aligning with NVIDIA’s Holoscan framework, iCatch positions PAISB as a foundational building block within a broader ecosystem that includes GPU‑accelerated AI pipelines, ROS 2 integration, and industrial‑grade safety certifications. The technology’s ability to deliver deterministic, low‑latency sensor data dovetails with the growing demand for real‑time perception in autonomous mobile robots, collaborative cobots, and next‑generation manufacturing cells. Consequently, iCatch expects PAISB to catalyze new design wins, foster deeper collaborations with OEMs and system integrators, and shorten the development cycle for Physical AI products entering markets such as logistics, healthcare, and advanced manufacturing.
Conclusion and Outlook
The COMPUTEX 2026 showcase underscores iCatch Technology’s commitment to solving the sensor‑integration bottleneck that has long hindered Physical AI advancement. Through the PAISB family—spanning both 1 GbE and 10 GbE variants—iCatch offers a versatile, hardware‑accelerated pathway to synchronized, high‑fidelity image streams that plug seamlessly into NVIDIA‑powered AI infrastructures. As robots and autonomous systems continue to evolve toward greater dexterity, situational awareness, and operational independence, solutions like PAISB will become indispensable, enabling developers to shift their focus from low‑level data plumbing to breakthrough AI algorithms and application‑level innovation. Interested parties are encouraged to visit Booth #R0826, experience the live demonstrations, and engage with iCatch’s technical team to explore how PAISB can be tailored to their specific Physical AI initiatives.