3 citations · 4 across the 4 of their papers we have counts for
4 papers
Time-to-Collision Based Dynamic Obstacle Avoidance Using Pretrained Vision Models for Robots in Unstructured Environments
Erik Jagnandan, Mulugeta Haile, Gregory Barber +1
Dynamic obstacle avoidance in unstructured outdoor environments remains a critical challenge for autonomous mobile robots, particularly when large-scale robot-specific training dat…
Generating Physically Sound Designs from Text and a Set of Physical Constraints
Gregory Barber, Todd C. Henry, Mulugeta A. Haile
We present TIDES, a text informed design approach for generating physically sound designs based on a textual description and a set of physical constraints. TIDES jointly optimizes…
Physical Constraint Embedded Neural Networks for inference and noise regulation
Gregory Barber, Mulugeta A. Haile, Tzikang Chen
Neural networks often require large amounts of data to generalize and can be ill-suited for modeling small and noisy experimental datasets. Standard network architectures trained o…
Joint Parameter Discovery and Generative Modeling of Dynamic Systems
Gregory Barber, Mulugeta A. Haile, Tzikang Chen
Given an unknown dynamic system such as a coupled harmonic oscillator with springs and point masses. We are often interested in gaining insights into its physical parameters, i…