A single destination for timely, editor-curated robotics news from around the world.
The initial large-scale commercial application of solid-state batteries may not be in electric vehicles but rather in humanoid robots. This shift highlights the evolving landscape of robotics and energy solutions, as companies explore innovative uses for advanced battery technology. As the industry...
A comprehensive survey on vision-language-action models for embodied artificial intelligence has been published in the Journal of Field Robotics. This survey explores the integration of visual perception, language understanding, and action execution in AI systems, highlighting the advancements and c...
Humanoid robots, designed to mimic human limbs and body structures, are being enhanced by an AI controller that translates virtual reality, video, and language commands into actionable movements. This advancement aims to simplify the teaching process for these robots, which often struggle with execu...
RFID and machine vision technologies are increasingly being adopted as effective solutions for automation. These technologies provide a more practical and cost-efficient alternative to traditional large-scale robotics projects, which often necessitate extensive facility redesigns and substantial cap...
Google has introduced a sign-language translation model capable of converting intricate body movements into text, utilizing over 100,000 hours of data from more than 50 sign languages. This technology, known as sign-language-to-text (SL2T), is being integrated into consumer devices, starting with Am...
Tesla's Optimus robots will not be used to repair Starmind satellites in orbit, as confirmed by recent statements from Elon Musk. Instead, these robots are intended to assist in the construction and operation of the Terafab chip manufacturing facility in Texas. The AI1 satellites, designed to disint...
Helix, an innovative Vision-Language-Action model, has been developed to enhance humanoid robotics by providing full upper-body control and facilitating collaboration among multiple robots. This cutting-edge technology enables robots to execute tasks involving new objects through natural language pr...
Researchers have introduced the LA4VLA framework, a new approach that enhances the capabilities of robots in understanding language commands and executing actions. This framework distinguishes language-action supervision from visual input, enabling robots to learn the relationship between commands a...
In recent decades, roboticists around the globe have developed sophisticated robots capable of interpreting human commands and navigating their environments to perform basic manual tasks. Despite these advancements, many of these robots continue to face challenges in accurately translating user inst...
Reasoning about failures is crucial for building reliable and trustworthy robotic systems. Prior approaches either treat failure reasoning as a closed-set classification problem or assume access to ample human annotations. Failures in the real world are typically subtle, combinatorial, and difficult...
Carnegie Mellon University’s Robotics Institute is set to host the latest phase of the Vision-Language-Navigation (VLN) Challenge, aimed at advancing the ability of robots to comprehend and execute human instructions in real-world environments. This new iteration of the challenge, which takes place...
A team of former researchers from MIT and DeepMind has established Eka Robotics, unveiling a groundbreaking "Vision-Force-Action" (VFA) foundation model. This innovative technology harnesses the power of simulation and tactile sensing to enable robots to perform tasks with superhuman speed and remar...
NVIDIA has introduced the Nemotron 3 Nano Omni, an innovative open multimodal AI model designed to enhance the efficiency of AI agent systems. Announced today, this model integrates vision, speech, and language capabilities into a single framework, addressing the common issue of time and context los...
In a significant development for the manufacturing sector, experts have highlighted the transformative potential of Variational Latent Models (VLMs) in enhancing quality assurance processes. While acknowledging that VLMs will not address every challenge faced in the realm of artificial intelligence...
Carnegie Mellon University's Robotics Institute is set to host the CMU Vision-Language-Autonomy Challenge, an event designed to unite researchers focused on the integration of computer vision, natural language understanding, and autonomous navigation. Scheduled for the near future, this challenge ai...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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