Events from January 20, 2017 – August 17, 2026 › Faculty Events › – Robotics Institute Carnegie Mellon University
2026-08-17T00:00:00-04:00
  • Faculty Events
    Associate Research Professor
    Robotics Institute,
    Carnegie Mellon University

    Creative Physical AI

    Newell-Simon Hall 4305

    Abstract: Do robots need creativity? I will share my stance that they do need creativity to solve general problems and support human values. Physical AI is a type of AI that enables robots to perceive and interact with a physical world. Trendy approaches in physical AI such as Vision-Language-Action (VLA) models directly map the observations [...]

  • Faculty Events
    Associate Professor With Tenure
    Robotics Institute,
    Carnegie Mellon University

    To Be Announced

    Newell-Simon Hall 4305

  • Faculty Events
    Assistant Professor
    Robotics Institute,
    Carnegie Mellon University

    Do we need geometry for 3D, or 3D for robotics?

    Newell-Simon Hall 4305

    Abstract: In the current era of large-scale learning, a ‘bitter lesson’ has been that we should pursue general methods that scale with computation (and data) instead of ones that prioritize human knowledge of the domain.  An assumed corollary of this lesson for systems pursuing 3D understanding is that explicit geometry will not be needed for these. Similarly, [...]

  • Faculty Events
    Associate Professor
    Robotics Institute,
    Carnegie Mellon University

    Precise and Generalizable Robot Manipulation

    Newell-Simon Hall 4305

    Abstract:   Robots in factories are still largely limited to structured environments with known object models. How can we bring robots into the more diverse, unstructured settings of our daily lives, where objects may vary widely in shape and appearance, while maintaining reliable performance? A popular direction today is to train generalist robot policies on large-scale internet [...]

    Faculty Events
    Assistant Professor
    Robotics Institute,
    Carnegie Mellon University

    Robot Learning and Wearable Interfaces in Pursuit of Robotic Caregivers

    Newell-Simon Hall 4305

    Abstract:  Designing safe and reliable robotic assistance for caregiving is a grand challenge in robotics. A sixth of the United States population is over the age of 65 and more than 1 in 4 (over 70 million) adults in the United States reported having a disability in 2022. Robotic caregivers could positively benefit society; yet, physical [...]