Dan Negrut — accepted AI-conference papers

2025

Enhancing Autonomous Navigation by Imaging Hidden Objects Using Single-Photon LiDAR

Aaron Young, Nevindu Batagoda, Harry Zhang, Akshat Dave, Adithya Pediredla, Dan Negrut +1

ICRA 2025

Robust autonomous navigation in environments with limited visibility remains a critical challenge in robotics. We present a novel approach that leverages Non-Line-of-Sight (NLOS) sensing using single-photon LiDAR to improve visibility and enhance autonomous navigation. Our method enables mobile robo

Cited by 12 Source ↗code ↗Scholar ↗

2020

SynChrono: A Scalable, Physics-Based Simulation Platform For Testing Groups of Autonomous Vehicles and/or Robots

Jay Taves, Asher Elmquist, Aaron Young, Radu Serban, Dan Negrut

IROS 2020poster

This contribution is concerned with the topic of using simulation to understand the behavior of groups of mutually interacting autonomous vehicles (AVs) or robots engaged in traffic/maneuvers that involve coordinated operation. We outline the structure of a multi-agent simulator called SYN-CHRONO an…

Cited by 12 Source ↗code ↗Scholar ↗