Tom Hirshberg — accepted AI-conference papers

2024

Active propulsion noise shaping for multi-rotor aircraft localization

Gabriele Serussi, Tamir Shor, Tom Hirshberg, Chaim Baskin, Alex M. Bronstein

IROS 2024poster

Multi-rotor aerial autonomous vehicles (MAVs) primarily rely on vision for navigation purposes. However, visual localization and odometry techniques suffer from poor performance in low or direct sunlight, a limited field of view, and vulnerability to occlusions. Acoustic sensing can serve as a compl…

Cited by 0 Source ↗code ↗Scholar ↗

2020

Safety Considerations in Deep Control Policies with Safety Barrier Certificates Under Uncertainty

Tom Hirshberg, Sai Vemprala, Ashish Kapoor

IROS 2020poster

Recent advances in Deep Machine Learning have shown promise in solving complex perception and control loops via methods such as reinforcement and imitation learning. However, guaranteeing safety for such learned deep policies has been a challenge due to issues such as partial observability and diffi…

Cited by 5 Source ↗Scholar ↗