Applications in Autonomous Systems
Autonomous systems represent one of the most transformative areas of AI. ELIZA fellows working in this research area collaborate with industry leaders to enhance robotics, autonomous vehicles, and adaptive control systems, addressing key challenges such as reliability and real-world applicability. The "Applications in Autonomous Systems" research area at ELIZA focuses on the development and application of machine learning techniques to enable intelligent and independent behaviour in various systems. Work in this area leverages advancements in machine learning to create autonomous agents capable of perceiving their environment, making decisions and acting effectively without constant human intervention. PhD students within ELIZA are actively involved in a diverse range of projects that aim to advance the capabilities of autonomous systems in various real-world scenarios.
Key aspects explored within the Applications in Autonomous Systems research area at ELIZA include:
- Robotics and navigation involve the development of robots capable of navigating complex and unstructured environments, including tasks like loop closure detection for accurate mapping. Scholars interested in this aspect explore how robots can efficiently learn and retain new skills through human demonstration. Other projects investigate the enablement of autonomous vehicles, assessing strategies and their consequences for tasks such as parking. Yet others apply neural fields in various robotics domains like pose estimation, manipulation, navigation, physics, and autonomous driving.
- Enabling autonomous systems to perceive and understand their environment through sensor data. This includes unsupervised panoptic segmentation for understanding complex scenes without human annotations, which is relevant for autonomous agents operating in such environments.
- Decision-making and control concerns the development of intelligent algorithms that allow autonomous systems to make informed decisions and control their actions to achieve specific goals.
Projects within the “Applications in Autonomous Systems” research area at ELIZA contribute significantly to advancing the field of AI by tackling complex real-world problems and pushing the boundaries of what autonomous systems can achieve.
Autonomous Systems Fellows
ELIZA connects exceptional students with cutting-edge opportunities in autonomous systems research. Through our network of leading experts and industry partnerships, students gain hands-on experience developing intelligent robots, autonomous vehicles, and adaptive systems that tackle real-world challenges across diverse environments.
