🎓 Research Intern – Dexterous Manipulation & Embodied Vision (MS/PhD, 6-12 months)

Join our research team to explore learning-based control and perception systems for dexterous humanoid manipulation. You'll contribute to training high-DOF control policies, building vision-tactile fusion pipelines, and scaling data-driven methods to tackle real-world manipulation tasks. Design and evaluate policies for high-DOF dexterous hands in simulation and real-world settings Integrate multimodal sensor streams (RGB, depth, tactile, joint states) into control pipelines Experiment with vision-based pretraining, diffusion control models, or large-scale imitation learning Contribute to data collection tools and replay infrastructure for learning from human demonstrations Work closely with hardware, AI, and perception engineers to close the loop from sensing to control