Aesope Hasan is a Research Assistant at the AVIS Research Lab and an MSc student in the Department of Robotics and Mechatronics Engineering, University of Dhaka.
He completed his BSc in the same department, where his undergraduate research focused on trust estimation during human-robot interaction with an exercise-coaching robot.
He is currently contributing to Phenobot, a UGC-funded project at the University of Dhaka focused on developing an autonomous multimodal sensing robot for high-throughput field crop phenotyping.
The system combines a ground rover equipped with RGB, depth, LiDAR, soil, and weather sensors with a UAV for canopy-level multispectral imaging. Deep learning models process the collected data for tasks such as spike and spikelet detection, segmentation, counting, vegetation index estimation, crop stress analysis, and yield prediction.
His MSc thesis investigates how human trust in a robotic exercise coach changes during repeated physical exercises. Participants perform squat exercises while the robot evaluates their movements, assigns performance scores, and provides corrective feedback.
The research combines repeated trust measurements with movement data to examine the relationship between reported trust, exercise performance, and behavioral responses to robot instructions. Mixed-effects models and participant-grouped cross-validation are used to investigate trust estimation and its temporal relationship with user behavior.
Research Interests
Human-Robot Interaction, Trust Estimation, Assistive Robotics, Machine Learning, Computer Vision, and Autonomous Agricultural Robotics.