A social robot should be able to understand human’s profile (i.e., human’s emotions and personality), so as to make the robot able to behave appropriately to the multimodal interaction context. This research addresses the online recognition of emotions based on a new fuzzy-based methodology. It also focuses on investigating how could a match between the human’s and the robot’s personalities influence interaction. Furthermore, it studies the automatic generation of head-arm metaphoric gestures under different emotional states based on the prosodic cues of the interacting human. The conducted experiments have been validated with NAO robot from Aldebaran Robotics and ALICE robot from Hanson Robotics.
LABORIUS is a young research laboratory interested in designing autonomous systems that can assist human in real life tasks. To do so, robots require some sort of "social intelligence", giving them the ability to interact with various types of agents (humans, animals, robots and other physical agents). Our team of robots is made of six Pioneer 2 robots, three indoor and three outdoor models, with each robot equipped with 16 sonars, a compass, a gripper, a camera with a frame grabber and a Fast Track Vision System, a RF Ethernet-modem connection and a Pentium 233 MHz PC-104 onboard computer. The programming environment used is Ayllu (Werger 2000), a tool for development of behavior-based control systems for intelligent mobile robots. Figure 1: Hercules, the Pioneer 2 robot that will attempt to attend AAAI'2000.
Evidence from psychology indicates that perceived empathy has a host of beneficial effects on attitudes and social behavior. Empathy plays a key role in patient-centered therapy, because it implies the apprehension of another's inner world and a joint understanding of emotions. This paper is a short survey of main issues relating to empathy that hold relevance to robotics. We focus on the existing literature on empathy in social psychology, and discuss its possible role of empathy in socially assistive robotics, along with possible methodologies for emulating and embodying empathy on robotic systems.
Long-term memory is essential to feel like a continuous being, and to be able to interact/communicate coherently. Social robots need long-term memories in order to establish long-term relationships with humans and other robots, and do not act just for the moment. In this paper this challenge is highlighted, open questions are identified, the need of addressing this challenge in the RoboCup@Home League with new tests is motivated, and a new test is proposed.
"Aurally Informed Performance' for mobile robots operating in natural environments brings difficult challenges, such as: localizing sound sources all around the robot; tracking these sources as they or the robot move; separate the sources as a pre-processing step for recognition and processing, in real-time; dialogue management and interaction in crowded conditions; evaluating performances of the different processing components in open conditions. In this paper, we present how we address these challenges by describing our eight microphone system for sound source localization, tracking and separation, our ongoing work on its DSP implementation, and the use of the system on Spartacus, our mobile robot entry to AAAI Mobile Robot Competitions addressing human-robot interaction in open settings.