Events from January 20, 2017 – January 22, 2026 › Student Talks › – Robotics Institute Carnegie Mellon University
2026-01-22T00:00:00-05:00
  • PhD Thesis Defense
    PhD Student
    Robotics Institute,
    Carnegie Mellon University

    Rethinking Robot Safety: Adaptive and Scalable Methods for Real-World Autonomy

    3305 Newell-Simon Hall

    Abstract: Safe autonomy in the real world requires more than safety in structured, low-dimensional settings. Robots deployed in everyday environments must cope with non-stationarity—objectives and dynamics that change due to human preferences or evolving operating conditions—and must also scale safety reasoning to high-dimensional robots and environments, where perception, dynamics, and safety constraints can be complex [...]

    PhD Thesis Proposal
    PhD Student
    Robotics Institute,
    Carnegie Mellon University

    Empirically Grounded LLM-based Virtual Patients for Psychotherapy Training: Design, Modeling, and Evaluation

    Gates Hillman Center 6115

    Abstract: The need for mental health care continues to outpace the supply of trained psychotherapists, while psychotherapy training remains constrained by limited supervision time and scarce opportunities for repeated, feedback-rich practice in realistic scenarios. Simulation-based training can mitigate these constraints, but actor-based standardized patients are costly and difficult to scale, and many clinically challenging moments [...]

  • PhD Thesis Defense
    PhD Student
    Robotics Institute,
    Carnegie Mellon University

    Dynamic Route Guidance in Vehicle Networks by Simulating Future Traffic Patterns

    3305 Newell-Simon Hall

    Abstract: Roadway congestion leads to wasted time and money and environmental damage. One possible solution is adding more roadway capacity, but this can be impractical especially in urban environments and still may not make up for a poorly-calibrated traffic signal schedule. As such, it is becoming increasingly important to use existing road networks more efficiently. [...]