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Sahar Leisiazar

3 accepted papers

2025

Adapting to Frequent Human Direction Changes in Autonomous Frontal Following Robots

RA-L 2025

This letter addresses the challenge of robot follow ahead applications where the human behavior is highly variable. We propose a novel approach that does not rely on single human trajectory prediction but instead considers multiple potential future positions of the human, along with their associated

Cited by 5SourceScholar
2023

An MCTS-DRL Based Obstacle and Occlusion Avoidance Methodology in Robotic Follow-Ahead Applications

IROS 2023poster

We propose a novel methodology for robotic follow-ahead applications that address the critical challenge of obstacle and occlusion avoidance. Our approach effectively navigates the robot while ensuring avoidance of collisions and occlusions caused by surrounding objects. To achieve this, we develope…

Cited by 4SourcecodeScholar