Research / News

Intelligence grounded
in physical reality.

Technical perspectives, research directions and company developments from GappAI's work on learning systems for real-world robotics.
Latest / Research note 01
14 August 2026 · 8 min read

From human demonstration to reliable robot skill

An engineering framework for capturing expert work, learning multimodal policies and building a controlled path from demonstration to deployment.

Research directions
01

Human-to-robot skill transfer

Learning reusable behaviours from demonstrations and operational data.

02

Multimodal perception

Connecting vision, depth, touch, force and task context.

03

Adaptive autonomy

Reasoning, recovery and calibrated escalation in changing environments.

04

Evaluation & assurance

Measuring reliability before and throughout real-world deployment.

Company news

Updates will be published here.

GappAI will use this space for verified company developments, research collaborations, pilot announcements and technical releases.