The ERA Lab develops intelligent robotic systems for complex, real-world environments. Our research spans computer vision, robot perception, multimodal learning, autonomous systems, and embodied AI — with applications in underwater robotics, field robotics, and intelligent autonomy.
What we work on
We build perception and autonomy for robots operating in challenging, unstructured environments.
Perception and autonomy for underwater vehicles operating in turbid, dynamic, and GPS-denied marine environments.
Multimodal 3D detection, reconstruction, and scene understanding from cameras, LiDAR, and sonar.
Fusing heterogeneous sensors and modalities into robust representations for real-world robotic decision-making.
Agents that perceive, reason, and act — closing the loop between perception, planning, and control on physical platforms.
Long-term autonomy for field robots, including navigation, mapping, and control in challenging environments.
Simulation-based data generation and digital twins that bridge the sim-to-real gap for perception models.
Highlights
A lightweight, near-identity module that stabilizes intermediate bird's-eye-view features of existing camera–LiDAR detectors, improving robustness under domain shift and sensor degradation without retraining the detection head.
A hierarchical VLM framework that decouples high-level semantic reasoning from low-level reactive control for autonomous underwater oyster reef monitoring.
A benchmark to measure common sense logical reasoning of Vision Language Models using curated synthetic images with defined logical anomalies accross real life categories to improve VLM preparedness for open world deployment.
We are always looking for motivated students and collaborators in robotics, computer vision, machine learning, and embodied AI.
Opportunities & contact