Perception
Human cues and multimodal learning
Visual representations of gaze, motion and interaction, with temporal modelling for intention and behavioural inference.
Machine learning · intelligent systems
Reliable intelligence in the real world.
I am Dr Samuel Adebayo. I study how intelligent systems perceive, reason and act when observations are incomplete and operating conditions change. My work spans computer vision, multimodal learning and embodied intelligence, alongside reliable LLM and agentic systems in production.
Research Fellow, Queen's University Belfast
Lecturer, Belfast Metropolitan College
Principal Data Scientist, ISx4
Research programme
One problem, several settings.
Across physical and software systems, I am interested in how useful decisions can be made from imperfect evidence without hiding uncertainty or failure modes.
Embodied systems
Perception that supports action
Learning, geometry and simulation for intelligent systems operating in physical environments, currently through robotic structural assembly.
Reliable AI
LLMs and agentic systems
Evaluation, observability and policy-constrained tool use, with human escalation where model autonomy should end.
Current research · ARISE
Robotic assembly as a testbed for reliable embodied intelligence.
I am a Research Fellow at Queen's University Belfast on ARISE, a US–Ireland programme involving Queen's, New York University, the University of Galway and the University of Texas at San Antonio. Within Queen's contribution, I lead machine-learning and computer-vision research for robotic structural assembly.
The work has produced ConPose and ISC-Perception, alongside experimental tooling that connects perception, simulation and physical interaction.
Selected work
Research through the systems themselves.
The visuals are drawn from the underlying frameworks rather than generic project imagery.
Machine Vision and Applications · 2026
ConPose
Joint detection and pose learning for robotic structural assembly, with supervision expressed directly in the ROI frame.
IEEE THMS · 2025
SLYKLatent
Self-supervised facial representation learning with patch-aware fine-tuning for robust gaze estimation.
IFAC-PapersOnLine · 2022
Hand-Eye-Object tracking
Multimodal tracking of gaze, hand motion and object interaction fused through a bidirectional recurrent model for intention inference.
News
Recent research activity.
Publications, project milestones and technical work. Longer-form technical writing remains on samueladebayo.com.
September 2026
ISC-Perception selected for a Buildings cover
The journal cover now sits alongside the paper as a visual summary of its synthetic, CAD and real-workcell data sources.
August 2026
ISC-Perception published in Buildings
Hybrid vision data for robotic assembly with novel Intermeshed Steel Connections.
June 2026
ConPose published in Machine Vision and Applications
A jointly trained single-pass framework for robotic perception.