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    • iPSC-Cardio Cells
    • HALO: A Unified Visio
  • Publications
    • Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues
    • Path Planning of Cleaning Robot with Reinforcement Learning
    • Reinforcement Learning Approaches in Social Robotics
    • Robotic Packaging Optimization with Reinforcement Learning
    • A Concise Introduction to Reinforcement Learning in Robotics
    • Robot-R1: Reinforcement Learning for Enhanced Embodied Reasoning in Robotics
    • Robotic Surgery With Lean Reinforcement Learning
    • Residual Reinforcement Learning for Robot Control
    • Autonomous robotic nanofabrication with reinforcement learning
    • Heterogeneous Multi-Robot Reinforcement Learning
    • Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning
    • Reinforcement learning for freeform robot design
    • Geometric Reinforcement Learning For Robotic Manipulation
    • On-Robot Bayesian Reinforcement Learning for POMDPs
    • Efficient Content-Based Sparse Attention with Routing Transformers
    • A foundation model of transcription across human cell types
    • Transformer AI
    • HALO, a unified VLA model that enables embodied multimodal chain-of-thought (EM-CoT) reasoning through a sequential process of textual task reasoning, visual subgoal prediction for fine-grained guidan
    • HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning
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SubXeurons

  • i
    iPSC-Cardio Cells

    Pluripotent stem cell-derived organoids can recapitulate significant features of organ development in vitro. We hypothesized that creating human heart organoids by mimicking aspects of in utero gestation (e.g., addition of metabolic and hormonal factors) would lead to higher physiological and anatomical relevance. We find that heart organoids produced using this self-organization-driven developmental induction strategy are remarkably similar transcriptionally and morphologically to age-matched human embryonic hearts. We also show that they recapitulate several aspects of cardiac development, including large atrial and ventricular chambers, proepicardial organ formation, and retinoic acid-mediated anterior-posterior patterning, mimicking the developmental processes found in the post-heart tube stage primitive heart

  • H
    HALO: A Unified Visio

    HALO: A Unified Vision-Language-Action Model for Embodied Multimodal Chain-of-Thought Reasoning

Publications

  • S
    Self-organizing human heart assembloids with autologous and developmentally relevant cardiac neural crest-derived tissues

    Human neural crest heart assembloids resembling the major directions of neural crest differentiation in the human embryonic heart, including parasympathetic innervation and the mesenchymal component of the outflow tract, provide a human-relevant embryonic platform for studying congenital heart defects and drug safety.

  • P
    Path Planning of Cleaning Robot with Reinforcement Learning

    Recently, as the demand for cleaning robots has steadily increased, therefore household electricity consumption is also increasing. To solve this electricity consumption issue, the problem of efficien

  • R
    Reinforcement Learning Approaches in Social Robotics

    This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with i

  • R
    Robotic Packaging Optimization with Reinforcement Learning

    Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automat

  • A
    A Concise Introduction to Reinforcement Learning in Robotics

    One of the biggest hurdles robotics faces is the facet of sophisticated and hard-to-engineer behaviors. Reinforcement learning offers a set of tools, and a framework to address this problem. In parall

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