Learning Variable Impedance Control: A Model-Based Approach Using Gaussian Processes

Modern robotic systems are increasingly expected to interact with unstructured and unpredictable environments. This has reiterated the importance of sophisticated reasoning and adaptive motor skill learning. Although low-level methodologies for sensorimotor control have been relatively well studied, constrained motion for robotic manipulators in...