We're actively building — here's what's in progress
Helpforce AI publishes research and development updates through our website and LinkedIn. This covers progress on our simulation-first deployment methodology, findings from our imitation learning pipeline work, and technical developments in our use of NVIDIA Isaac Sim and Omniverse.
Current R&D focus
Imitation learning pipeline — building the end-to-end pipeline that converts human-demonstrated motion into deployable robot training data using NVIDIA Isaac Sim
Sim-to-real transfer optimization — improving the accuracy and robustness of trained robot behaviors when transitioning from simulation to physical deployment
Pakistan-specific environment modeling — accounting for local infrastructure conditions (floor types, WiFi variability, heat and dust) in simulation parameters
Where to follow our work
Website R&D section: helpforce.ai
LinkedIn: Search Helpforce AI
If you're a researcher, engineer, or technical partner interested in our methodology, reach out at [email protected].