Software for AI-Driven Industrial Applications
Narrow AI systems for robotic perception, task interpretation, and reliable execution. Focus on architectures that are testable, integrable, and suitable for industrial constraints.
Areas of focus
Robotic perception
Practical scene understanding for structured and semi-structured environments, built for robustness rather than demos.
Decision logic & execution
Constrained, task-specific logic that bridges perception outputs to predictable robot actions and recovery behavior.
Simulation-driven development
Validation of task logic and failure modes in simulation to reduce iteration cost and deployment risk.
Integration mindset
Design that respects real interfaces (controllers, PLCs, industrial networks) and keeps AI out of safety-critical loops.
Selected projects
Short, technical summaries with emphasis on system behavior and constraints. Implementation details are intentionally omitted.
Jetank: Perception-Guided Toy Picking
Demonstration of perception-driven object selection and pick execution on resource-limited hardware.
Adaptive Palletizing Strategy in Simulation
Simulation-based development of a palletizing strategy that reacts to the evolving pallet state and constraints.
Language-Guided Robot Task Interpretation
Using language models as an interpretation layer to map intent and scene descriptions into a predefined action vocabulary.
