3 papers
cs.RO2026
Failing Gracefully: Mitigating Impact of Inevitable Robot Failures
Duc M. Nguyen, Saad A. Ghani, Andrew Marshall +3
Service robots operate in household environments shared with humans, pets, and everyday objects, where they are highly susceptible to failures such as software crashes, hardware de…
cs.RO2025
Learning from Hallucinating Critical Points for Navigation in Dynamic Environments
Saad Abdul Ghani, Kameron Lee, Xuesu Xiao
Generating large and diverse obstacle datasets to learn motion planning in environments with dynamic obstacles is challenging due to the vast space of possible obstacle trajectorie…
cs.RO2025
Dyna-LfLH: Learning Agile Navigation in Dynamic Environments from Learned Hallucination
Saad Abdul Ghani, Zizhao Wang, Peter Stone +1
This paper introduces Dynamic Learning from Learned Hallucination (Dyna-LfLH), a self-supervised method for training motion planners to navigate environments with dense and dynamic…