Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Nuro receives driverless testing permit ahead of Uber robotaxi service launch
A Silicon Valley autonomous vehicle startup has announced that it has yet to commence testing its driverless technology. Despite the growing interest and advancements in the autonomous vehicle sector, the company has not initiated any trials to evaluate the performance of its self-driving systems. The decision to delay testing may stem from the need to ensure safety and compliance with regulatory standards before deploying the technology on public roads. As the industry continues to evolve, this startup is focusing on refining its technology and preparing for future testing phases. The timeline for when testing will begin remains uncertain, as the company prioritizes thorough preparation over hastiness in launching its driverless vehicles.
Transportation autonomous vehicles lucid luid gravity nuro Uber
Selecting the Right Payload for Your Painting Robot Project
In the realm of industrial automation, selecting the appropriate payload for painting robots is a critical early decision that significantly impacts motion stability, coating consistency, and overall system reliability. This consideration is particularly vital when the robots are required to transition between various tasks, such as painting and inspection. Experts emphasize the importance of evaluating real operating conditions rather than relying solely on nominal values, as miscalculations can lead to issues like vibration and uneven paint application. Payload calculations should begin with a comprehensive assessment of the end-of-arm tooling setup, which includes the spray gun, fluid lines, and cable routing. Unlike static tasks, painting requires careful consideration of inertia and changes in the center of gravity due to constant acceleration and deceleration. Companies like JAKA focus on aligning payloads with actual process needs to ensure smooth operation and consistent quality, while also optimizing floor space in compact workcells. Moreover, decisions regarding payload can influence the long-term flexibility of the system, allowing for future integrations of additional processes such as screwdriving or assembly. JAKA's experience with adaptable configurations demonstrates that torque adjustments can be tailored to specific product requirements, facilitating efficient task transitions without necessitating a complete redesign of the robot setup. In conclusion, strategic payload selection is essential for maximizing performance, quality, and scalability in painting robot projects. By thoroughly analyzing tooling weight, motion dynamics, and potential future needs, manufacturers can create reliable and efficient systems that adapt to evolving production demands.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
