SenseTime deepens its push into embodied intelligence with ACE Robotics - KrASIA
<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxNVEJqSVI5QUkxMnUtMTdObFZsb2I0ajgwMmZsWXNDNlZFaWdnSko0VmRIQmRQV0laSG01cUw3ODJaZFlZRGNqUVhmTmdyZkNGWHcyRWxNazNwOWNMSjdONmI0SFJaZEJEV2ZtQ1J2cEFlU3FzSzh2X19HQTl3ZzNsOWc3ckliVEJXV1hjUk1Cb2MtSGtTT2c?oc=5" target="_blank">SenseTime deepens its push into embodied intelligence with ACE Robotics</a> <font color="#6f6f6f">KrASIA</font>
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Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity
arXiv:2603.29332v1 Announce Type: new Abstract: The embodied learning of human motor control requires whole-body neuro-actuated musculoskeletal dynamics, while the internal muscle-driven processes underlying movement remain inaccessible to direct measurement. Computational modeling offers an alternative, but inverse dynamics methods struggled to resolve redundant control from observed kinematics in the high-dimensional, over-actuated system. Forward imitation approaches based on deep reinforcement learning exhibited inadequate tracking performance due to the curse of dimensionality in both control and reward design. Here we introduce a large-scale parallel musculoskeletal computation framework for biomechanically grounded whole-body motion reproduction. By integrating large-scale parallel
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Owl-AuraID 1.0: An Intelligent System for Autonomous Scientific Instrumentation and Scientific Data Analysis
arXiv:2603.29828v1 Announce Type: new Abstract: Scientific discovery increasingly depends on high-throughput characterization, yet automation is hindered by proprietary GUIs and the limited generalizability of existing API-based systems. We present Owl-AuraID, a software-hardware collaborative embodied agent system that adopts a GUI-native paradigm to operate instruments through the same interfaces as human experts. Its skill-centric framework integrates Type-1 (GUI operation) and Type-2 (data analysis) skills into end-to-end workflows, connecting physical sample handling with scientific interpretation. Owl-AuraID demonstrates broad coverage across ten categories of precision instruments and diverse workflows, including multimodal spectral analysis, microscopic imaging, and crystallographi
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