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Iván Hernández Dalas: Why AIC is the only path to certifiable robotics

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Artificial integrated cognition, or AIC, can provide certifiable physics-based architectures. Source: Hidayat AI, via Adobe Stock The robotics industry is at a crossroads. The European Union’s Artificial Intelligence Act is forcing forcing the robotics industry to abandon opaque, end-to-end neural networks in favor of transparent, physics-based artificial integrated cognition, or AIC, architectures. The robotics space is entering its most critical phase since the birth of industrial automation. On one side, we see breathtaking humanoid demonstrations powered by massive end-to-end neural networks. On the other, we face an immovable reality: regulation. The EU AI Act does not ask how impressive a robot looks, but whether its behavior can be explained, audited, and certified. The risk of the ‘blind giant’ Black-box AI models create what can be described as the “blind giant problem:” extraordinary performance without understanding. Such systems cannot explain decisions, guarantee...
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Iván Hernández Dalas: Kodiak plans to scale autonomous trucking hardware and sensors with Bosch

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Kodiak and Bosch plan to scale the manufacturing of a production-grade, redundant autonomous platform. | Source: Kodiak Kodiak AI Inc., a provider of autonomous driving technology, this week entered into an agreement with Robert Bosch GmbH. The companies plan to collaborate on scaling the manufacturing of a production-grade, redundant autonomous platform. This platform contains the specialized hardware, firmware, and software interfaces that enable the Kodiak Driver to automate trucks—either on a vehicle production line or through an upfitter. “Advancing the deployment of driverless trucks and physical AI not only requires robust autonomous technology, but also manufacturing experience and a robust supply chain in order to achieve true scale,” said Don Burnette, founder and CEO of Kodiak. “We believe collaborating with Bosch will allow us to scale autonomous driving hardware with the modularity, serviceability, and system-level integration needed for commercial success for bo...
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Iván Hernández Dalas: Buildroid AI expands simulation-first robotics platform to U.S. sites

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A Buildroid block-laying robot at a demonstration construction site. Source: Buildroid One reason why the construction industry has not adopted more robots is because many systems automate only isolated tasks, according to Buildroid Inc. The company said its platform can increase utilization and throughput by linking multiple robots into coordinated workflows that address a full trade sequence. “America’s construction industry faces many of the same pressures seen worldwide—labor shortages, rising costs, and increasing demand for speed and precision,” stated Slava Solonitsyn, co-founder and CEO of Buildroid AI. The San Francisco-based company said its platform uses NVIDIA Omniverse-based modeling to evaluate workflows on job sites, and it is compatible with more than 40 robot types. Buildroid offers its proprietary technology through a robotics-as-a-service ( RaaS ) model. “By running thousands of NVIDIA Omniverse-powered digital twin simulations before ever sending a robot to ...
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Iván Hernández Dalas: Robot Talk Episode 139 – Advanced robot hearing, with Christine Evers

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Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound. Christine Evers is an Associate Professor in Computer Science and Director of the Centre for Robotics at the University of Southampton. Her research pushes the boundaries of machine listening, enabling robots to make sense of life in sound. Her current focus is embedding our understanding of the human auditory process into deep-learning audio architectures. This bio-inspired approach moves away from massive, internet-scale models toward compute-efficient and inherently interpretable systems – opening the door to a new generation of embodied auditory intelligence. View Source
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Iván Hernández Dalas: Humanoid takes seven-month path to HMND 01 Alpha

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Humanoid follows a simulation-first approach using NVIDIA Isaac Lab and Isaac Sim. | Credit: Humanoid By moving from concept to a functional alpha prototype of its HMND 01 system in seven months, London-based startup Humanoid is attempting to compress the traditional robotics hardware development cycle of 18 to 24 months. The company ’s HMND 01 Alpha robots, which include both wheeled industrial and bipedal research platforms, are currently undergoing field tests and proof-of-concept demonstrations. Central to this development speed is an integrated software and hardware stack provided by NVIDIA . Edge compute and foundation models cut complexity The HMND 01 Alpha uses NVIDIA Jetson Thor as its primary edge-computing platform. For developers, the shift to Thor represents a move toward consolidating the robot’s internal architecture. By running large-scale robotic foundation models directly at the edge, Humanoid claimed that it has reduced the complexity of its system wiring a...
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Iván Hernández Dalas: Doosan Bobcat unveils RX3 autonomous concept loader

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The design of RX3 has patents pending that cold shape Bobcat’s future lineup. | Credit: Doosan Bobcat At CES 2026 this week, Doosan Bobcat Inc. introduced a suite of AI-powered, autonomous, and electrified technologies such as the RX3 concept loader designed to simplify operations and increase productivity for construction equipment. The electric-powered Bobcat RogueX3 (RX3) is in its third generation. Doosan Bobcat designed it to be compact, quiet, autonomous, and with a footprint similar to existing Bobcat (manned) machines. The robot is equipped with tracks that provide traction across a variety of work surfaces. The modular design of the RX3 allows for interchangeable components: cab or no cab, wheels or tracks, configurable lift arms, and more. Users can tailor the machine to specific tasks, and it could be built and powered in multiple ways, including electric, diesel, hybrid, or even hydrogen, said the company . “For nearly 70 years, Bobcat has led the compact equipme...
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Iván Hernández Dalas: Lyte brings in $107M to build perception systems for AI-enabled robots

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LyteVision fuses 4D vision, RGB, and IMU sensing at the edge. | Source: Lyte AI Lyte AI this week emerged from stealth with $107 million in aggregate funding. The startup plans to use the investment to build a perception foundation for autonomous machines. The Mountain View, Calif.-based company said its core product, LyteVision, vertically integrates advanced 4D vision , RGB imaging, and motion sensing into a single platform to deliver unified spatial and visual data through one connection. LyteVision enables a wide range of physical AI platforms, including autonomous mobile robots, robotic arms, quadrupeds, robotaxis, and humanoids, it claimed. “Physical AI will change how the world works, but only if robots can see it clearly,” stated Alexander Shpunt, co-founder and CEO of Lyte AI. “After helping shape how billions of people interact with technology, we’ve assembled an extraordinary team to build the perception layer that enables robots to operate safely and reliably at sca...
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