Accurate and fast human grip state-aware and adaptive robot handover controller.
Novel representation of human state with tactile haptic gloves-enabled simultaneous grip strength and grip gesture sensing.
Fast and responsible robots to adapt to a human's grip state within 1 ms.
Efficient programming by 60-s one-shot natural task demonstration, which can also adapt to unseen grip settings.
A hierarchical computation model-based decomposition of construction skills and tasks.
A transparent and sustainable data usage-based robot learning and human workforce development scheme.
A generative imitation learning to transfer human craft skills to robots.
Best Paper Award @ i3CE2024
VR + Human motion tracking to capture motion primitives.
Amazon AWS + ROS + VR = Federated learning database.
Runner-Up Best Poster Award @ i3CE2023
Developing automation framework, pathways, and heavy equipment for construction.
Creating algorithms for construction robots.