Autonomous Self-Driving Lab for Robot-Assisted Scientific Experimentation
Developing autonomous laboratory systems that connect dexterous manipulation, sample transportation, automated analysis, and closed-loop experimentation.
Developing autonomous laboratory systems that connect dexterous manipulation, sample transportation, automated analysis, and closed-loop experimentation.
Developing VLA models that connect robot vision, language understanding, locomotion, manipulation, and visual navigation for quadruped and humanoid.
Developing Hamiltonian- and DFT-informed molecular dynamics workflows to study phonon damping, lattice anharmonicity, thermal transport in semiconductors.
Developing quantum neural network models and hybrid quantum-AI workflows for semiconductor materials design and drug discovery.