Ian Higgins — accepted AI-conference papers

2025

Demonstrating ViSafe: Vision-enabled Safety for High-speed Detect and Avoid

Parv Kapoor, Ian Higgins, Nikhil Varma Keetha, Jay Patrikar, Brady Moon, Zelin Ye +5

RSS 2025poster

Maintaining visual separation is crucial to achieving safe and seamless high-density operation of airborne vehicles in shared airspace, where pilots currently shoulder this responsibility. To automate this, we present ViSafe, a high-speed airborne vision-only collision avoidance system. Designed un…

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2024

SoRTS: Learned Tree Search for Long Horizon Social Robot Navigation

Ingrid Navarro, Jay Patrikar, Joao P. A. Dantas, Rohan Baijal, Ian Higgins, Sebastian A. Scherer +1

RA-L 2024

The fast-growing demand for fully autonomous robots in shared spaces calls for developing trustworthy agents that can safely and seamlessly navigate crowded environments. Recent models for motion prediction show promise in characterizing social interactions in such environments. However, using them

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