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Research area 03

Safe Autonomous Systems

RL · robotics · anomaly detection · risk-aware control

Autonomy that respects a specification: reinforcement learning under temporal-logic objectives, and detecting and recovering from anomalies before an autonomous system acts on them.

Publications (3)

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  • Latent-Space Prediction Error and Fuzzy Risk-Scaled Recovery for Robotic Manipulation

    Thanh-Hai Tran, Xuan-Bach Le

    ACIVS 2026, Okinawa, Japan · December 2026

    To appear
    PaperSupplementArtifact
  • Industrial Visual Anomaly Detection in Robotics: Methods, Datasets, and Deployable System Architectures

    Thanh-Hai Tran, Xuan-Bach Le

    IEA/AIE 2026, Kuala Lumpur, Malaysia · July 2026

    PaperSlidesDOI
  • Reinforcement Learning with LTL and Omega-Regular Objectives via Optimality-Preserving Translation to Average Rewards

    Xuan-Bach Le, Dominik Wagner, Leon Witzman, Alexander Rabinovich, Luke Ong

    NeurIPS 2024 (CORE Rank A*), Vancouver, Canada · December 2024

    CORE A*
    PaperPosterDOI

Other areas

  • Verified AI
  • Auditable AI Agents
  • Quantum Reasoning
  • Applied & Collaborative

RAISE Lab — Reasoning in Artificial Intelligence and Software Engineering

Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology (HCMUT), Vietnam National University Ho Chi Minh City.

Ho Chi Minh City University of Technology, Vietnam National University Ho Chi Minh City, 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam
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Research

  • Verified AI
  • Auditable AI Agents
  • Safe Autonomous Systems
  • Quantum Reasoning
  • Applied & Collaborative

Contact

  • lexuanbach@hcmut.edu.vn
  • Join the lab
  • Lab head's homepage
  • GitHub
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