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About

Dr. Alice James is a robotics researcher whose work centers on autonomous systems, sensor fusion, and cooperative aerial robotics. Her major contributions span from ground-based autonomous vehicles to innovative drone delivery systems. Her most cited work, "1/10th scale autonomous vehicle based on convolutional neural network" (2020, 15 citations), demonstrates practical implementation of deep learning for self-driving cars. She advanced indoor UAV navigation with "Sensor Fusion for Autonomous Indoor UAV Navigation in Confined Spaces" (2023, 14 citations), integrating depth sensing, IMU, and LiDAR for robust flight in challenging environments. Her notable 2024 paper on "Cooperative Drone Delivery via Push-based Lift with Payload Stabilization" (7 citations) introduces a novel push-based method for transporting payloads using multiple quadcopters, featuring a self-stabilizing tray. Additionally, she developed MecQaBot (2024, 2 citations), an open-source modular robotics platform for education and research at Macquarie University. Her work bridges theoretical advances with practical, accessible systems, making significant impacts in autonomous navigation and cooperative robotics.