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About

Avishkar Seth is a robotics researcher whose work centers on autonomous systems, sensor fusion, and cooperative aerial robotics. His most-cited paper, “1/10th scale autonomous vehicle based on convolutional neural network” (2020, 15 citations), demonstrates a scaled autonomous vehicle that leverages CNNs for real-time driving control, offering an accessible platform for testing self-driving algorithms. Building on this, Seth tackles the challenge of indoor UAV navigation in “Sensor Fusion for Autonomous Indoor UAV Navigation in Confined Spaces” (2023, 14 citations), where he integrates depth cameras, IMU, and LiDAR to enable reliable flight in GPS-denied environments. His innovative “Cooperative Drone Delivery via Push-based Lift with Payload Stabilization” (2024, 7 citations) introduces a novel dual-drone system that uses a self-stabilizing tray for transporting payloads, advancing logistics and collaborative robotics. Additionally, Seth co-developed MecQaBot (2024, 2 citations), an open-source modular robotics framework for education and research at Macquarie University. With a growing citation impact and contributions spanning autonomous driving, aerial navigation, and cooperative systems, Seth’s work is shaping practical, scalable solutions in robotics.