Explores learning strategies in robotics, including reward systems, fixture usage, and training generalization from simulation to real-world applications.
Explores scaling laws, simulations, and challenges in electrostatic MEMS, focusing on energy density, capacitance, actuators, and practical applications in haptic gloves.