DRL (Deep Reinforcement Learning) has become a research hotspot in the trajectory planning of robot arms, enabling robots to show behaviors close to humans in tasks such as grasping, opening doors, ...
Inertial Measurement Unit-based methods have great potential in capturing motion in large-scale and complex environments with many people. Sparse Inertial Measurement Unit-based methods have more ...
Non-Cartesian actuators are improving applications where they weren't even feasible before. Full definition of their dynamics and kinematics helps designers extract maximum performance from these ...
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