PERCEIVE.
Turn images, depth, and sensor data into an understanding of the physical world.
ERA LAB ✦ EMBODIED AUTONOMYResearch at the intersection of robotics, perception and machine learning. Building intelligent systems that understand, learn and act in the real world.
Led by Dr. Xiaomin Lin, the Embodied Robotics and Autonomy (ERA) Lab at the University of South Florida develops intelligent robots for challenging real-world environments.
From vision and machine learning to edge intelligence and autonomous systems, the lab connects foundational AI research with embodied decision-making. Its application areas include marine environments, agriculture, healthcare, and field robotics.
MEET THE PRINCIPAL INVESTIGATOR ↗Turn images, depth, and sensor data into an understanding of the physical world.
Use learning, language models, and planning to make informed decisions.
Close the loop with control, embodied behavior, and real-world autonomy.
Eight connected research directions—spanning foundational AI, embodied intelligence, and fielded autonomous systems.
Seeing space and structure across cameras, LiDAR and sonar.
Integrating multiple sensors into resilient machine understanding.
Closing the loop between perception, planning and control.
Long-term navigation, mapping, and control for robots in challenging real-world environments.
Efficient perception and reasoning on constrained robot hardware.
Training and testing autonomy in worlds built to mirror reality.
Connecting language models and structured knowledge with robot decision-making.
Sensing and navigation in turbid, dynamic, GPS-denied waters.
Discover the lab's complete research scope on the official research page ↗
The same research foundations—perception, learning, reasoning, autonomy—support different real-world challenges.
Mapping, monitoring and autonomous exploration.
Robust navigation and control beyond the lab.
AI and efficient perception for practical applications.
Research applications and directions, not a catalog of verified deployed products.
Selected work across multimodal 3D vision, vision-language reasoning, field autonomy, and environmental robotics.
A hierarchical vision-language framework for monitoring oyster reefs. It connects high-level semantic reasoning with low-level robotic control.
EXPLORE RESEARCHA lightweight feature stabilizer that improves multimodal camera–LiDAR detection under domain shift and sensor degradation.
EXPLORE RESEARCHA benchmark testing whether vision-language models can recognize logical anomalies across real-world visual scenarios.
EXPLORE RESEARCHAutonomous robotic systems for aquaculture monitoring, recognized at the 2024 IROS aquaculture robotics workshop.
EXPLORE RESEARCHSelected publications and research milestones, linked to the lab's official source pages.
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
IEEE International Conference on Development and Learning (ICDL)
IEEE — Autonomous Robotic Systems in Aquaculture Workshop · Best Paper Award
For the complete record, see the official publications list ↗
Assistant Professor of Electrical Engineering · University of South Florida
FACULTY PROFILE ↗Public ERA Lab team roster. Check the current official list ↗