Department of Computer, Control and Management Engineering

ABSTRACT: Current and future robotics applications are expected to address more and more complex tasks in increasingly unstructured environments and in co-existence or co-operation with humans. Achieving full autonomy is clearly a "holy grail" for the robotics community: however, one could easily argue that real full autonomy is, in practice, out of reach for years to come, and in some cases also not desirable. The leap between the cognitive skills (e.g., perception, decision making, general ”scene understanding”) of us humans w.r.t. those of the most advanced nowadays robots is still huge. In most applications involving tasks in unstructured environments, uncertainty, and interaction with the physical word, human assistance is still necessary, and will probably be for the next decades. These considerations motivate research efforts into the (large) topic of shared control for complex robotics systems: on the one hand, empower robots with a large degree of autonomy for allowing them to effectively operate in non-trivial environments. On the other hand, include human users in the loop for having them in (partial) control of some aspects of the overall robot behavior. In this talk I will then review several recent results on novel shared control architectures meant to blend together diverse fields of robot autonomy (sensing, planning, control, machine learning) for providing a human operator an easy "interface" for commanding the robot at high-level. Applications to the control of single/multiple mobile robots for remote navigation, and of manipulation systems for remote telemanipulation will be illustrated.