LingBot-VLA
PulseAugur coverage of LingBot-VLA — every cluster mentioning LingBot-VLA across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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LingBot-Touch model bridges tactile data gap for robots
Researchers have developed LingBot-Touch, an open-source tactile pre-training model designed to translate raw sensor data into a format understandable by robot action models. Initial experiments showed that robots equip…
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Ant Group releases LingBot-Touch tactile model to boost robot manipulation · 1 source tracked
Ant Group has open-sourced its tactile foundation model, LingBot-Touch, which was trained on nearly 5,000 hours of real-world tactile data. This model aims to enhance robots' physical perception and closed-loop manipula…
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LingBot-Touch unifies tactile sensors for enhanced robotic manipulation
Researchers have developed LingBot-Touch, a novel tactile foundation model designed to unify representations across diverse tactile sensors. This model enables plug-and-play integration into various manipulation policie…
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FastOPD framework enables lightweight VLA model deployment via distillation
Researchers have developed FastOPD, a new framework for deploying lightweight Vision-Language-Action (VLA) models. This method uses on-policy distillation to transfer knowledge from large, computationally expensive VLA …
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FastOPD framework enables efficient deployment of large VLA models
Researchers have developed FastOPD, a new framework designed to make large Vision-Language-Action (VLA) models more deployable in real-world scenarios by reducing their computational costs. This method uses on-policy di…
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Ant Group launches LingBot-VLA 2.0 embodied AI challenge
Ant Group's LingBot has launched its first Embodied Large Model Challenge, utilizing the LingBot-VLA 2.0 open-source model as its foundation. This competition aims to foster broader adoption and innovation within the de…
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LingBot-VLA foundation model advances robotic manipulation
Researchers have developed LingBot-VLA, a pragmatic Vision-Language-Action (VLA) foundation model designed for robotic manipulation. The model demonstrates strong generalization across tasks and platforms, achieving sup…
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VISTA framework improves robot training with validated data
Researchers have developed VISTA, a framework designed to improve the training of Vision-Language-Action (VLA) models using real-world robot data. The framework addresses challenges such as distorted camera views and ph…
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Robotics experts convene to tackle data challenges in embodied AI development
A recent salon convened nearly 200 experts in embodied AI to discuss the challenges of moving robots from labs to the real world, focusing on data collection and model training. Participants highlighted that current dat…