RT/ Designing soft and sensitive robotic fingers
Tags: Robots, Boston Dynamics, Robotics, Technology, Robotics Automation

by Helena Kiilavuori, Veikko Sariola, Mikko J. Peltola, Jari K. Hietanen in Biological Psychology

According to a new study by Tampere University in Finland, making eye contact with a robot may have the same effect on people as eye contact with another person. The results predict that interaction between humans and humanoid robots will be surprisingly smooth.

With the rapid progress in robotics, it is anticipated that people will increasingly interact with so called social robots in the future. Despite the artificiality of robots, people seem to react to them socially and ascribe humane attributes to them. For instance, people may perceive different qualities — such as knowledgeability, sociability, and likeability — in robots based on how they look and/or behave.

Previous surveys have been able to shed light on people’s perceptions of social robots and their characteristics, but the very central question of what kind of automatic reactions social robots evoke in us humans has remained unanswered. Does interacting with a robot cause similar reactions as interacting with another human?

Researchers at Tampere University investigated the matter by studying the physiological reactions that eye contact with a social robot evokes. Eye contact was chosen as the topic of the study for two major reasons. First, previous results have shown that certain emotional and attention-related physiological responses are stronger when people see the gaze of another person directed to them compared to seeing their averted gaze. Second, directing the gaze either towards or away from another person is a type of behaviour related to normal interaction that even current social robots are quite naturally capable of.

In the study, the research participants were face to face with another person or a humanoid robot. The person and the robot looked either directly at the participant and made eye contact or averted their gaze. At the same time, the participants’ skin conductance, which reflects the activity of the autonomous nervous systems, the electrical activity of the cheek muscle reflecting positive affective reactions, and heart rate deceleration, which indicates the orienting of attention, were measured.

The results showed that all the above-mentioned physiological reactions were stronger in the case of eye contact compared to averted gaze when shared with both another person and a humanoid robot. Eye contact with the robot and another human focused the participants’ attention, raised their level of arousal and elicited a positive emotional response.

“Our results indicate that the non-linguistic, interaction-regulating cues of social robots can affect humans in the same way as similar cues presented by other people. Interestingly, we respond to signals that have evolved over the course of evolution to regulate human interaction even when these signals are transmitted by robots. Such evidence allows us to anticipate that as robot technology develops, our interaction with the social robots of the future may be surprisingly seamless,” says doctoral researcher Helena Kiilavuori. “The results were quite astonishing for us, too, because our previous results have shown that eye contact only elicits the reactions we perceived in this study when the participants know that another person is actually seeing them. For example, in a video conference, eye contact with the person on the screen does not cause these reactions if the participant knows that his or her own camera is off, and the other person is unable to see him or her. The fact that eye contact with a robot produces such reactions indicates that even though we know the robot is a lifeless machine, we treat it instinctively as if it could see us. As if it had a mind which looked at us,” says Professor of Psychology Jari Hietanen, director of the project.

Videos

MIT Mini-Cheetahs are looking for a new home. The new cheetah cubs, born at NAVER LABS, are for the MIT Mini-Cheetah workshop. MIT professor Sangbae Kim and his research team are supporting joint research by distributing Mini-Cheetahs to researchers all around the world.

For several years, NVIDIA’s research teams have been working to leverage GPU technology to accelerate reinforcement learning (RL). As a result of this promising research, NVIDIA is pleased to announce a preview release of Isaac Gym — NVIDIA’s physics simulation environment for reinforcement learning research. RL-based training is now more accessible as tasks that once required thousands of CPU cores can now instead be trained using a single GPU.

Robert “Buz” Chmielewski is using two modular prosthetic limbs developed by APL to feed himself dessert. Smart software puts his utensils in roughly the right spot, and then Buz uses his brain signals to cut the food with knife and fork. Once he is done cutting, the software then brings the food near his mouth, where he again uses brain signals to bring the food the last several inches to his mouth so that he can eat it.

Get a preview of the cave environments that are being used to inspire the Final Event competition course of the DARPA Subterranean Challenge. In the Final Event, teams will deploy their robots to rapidly map, navigate, and search in competition courses that combine elements of man-made tunnel systems, urban underground, and natural cave networks.

In this video, a multi-material robot simulator is used to design a shape-changing robot, which is then transferred to physical hardware. The simulated and real robots can use shape change to switch between rolling gaits and inchworm gaits, to locomote in multiple environments.

At SINTEF in Norway, they’re working on ways of using robots to keep tabs on giant floating cages of tasty fish.

Upcoming events

ICCR 2020 — December 26–29, 2020 — [Online Conference]

HRI 2021 — March 8–11, 2021 — [Online Conference]

RoboSoft 2021 — April 12–16, 2021 — [Online Conference]

MISC

Subscribe to Paradigm!

Medium. Twitter. Telegram. Telegram Chat. Reddit. LinkedIn.

Main sources

Research articles

Science Robotics

Science Daily

IEEE Spectrum