This paper presents a brief review of affordance research in robotics, with special
concentrations on its applications in gras** and manipulation of objects. The concept of …

It is natural and efficient to use human natural language (NL) directly to instruct robot task
executions without prior user knowledge of instruction patterns. Currently, NL-instructed …

Affordances capture the relationships between a robot and the environment in terms of the
actions that the robot is able to perform. The notable characteristic of affordance-based …

When robots work alongside humans for performing collaborative tasks, they need to be
able to anticipate human's future actions and plan appropriate actions. The tasks we …

Socially assistive robots are a promising technology for supporting residential care facilities
to provide stimulating recreational activities to residents in group settings. In order for …

For effective human-robot interaction, we argue that robots must gain social-cognitive
mechanisms that allow them to function naturally and intuitively during social interactions …

Autonomous and semi-autonomous robots have been increasingly proposed as social and
therapy assistants for neurorehabilitation after traumatic and non-traumatic brain injury …

Affordances play a crucial role in robotics since they allow develo** truly autonomous
robots, which can freely explore and interact with the environment. Most of the existing …

Current architectures for social agents are designed around some specific units of social
behavior that address particular challenges, such as modeling beliefs and motivations …

We consider the problem of learning user preferences over robot trajectories for
environments rich in objects and humans. This is challenging because the criterion defining …