Call for Papers – RoboSense Workshop: Robotic Sensing in Human-Robot Interaction
Submission Deadline: February 25, 2019
Submission Length: 3-10 pages (incl. refs)
Proceedings: ACM will be the publisher of the proceedings of PETRA conference and workshops.
Workshop link:http://www.petrae.org/workshops/robosense.html
Description:
In
the recent years, there has been a growing interest in making robots
able to interact with people in industrial, medical and household
settings. However, Human-Robot Interaction (HRI) often appears to be
unnatural for people. One of the challenges in HRI is how the robot can
see, hear, feel and understand its surroundings, in order to enable a
more natural and human-like interaction. Robots require sensors and
intelligence to sense and interact with its environment in a safe and
effective matter, to learn and to develop self-awareness. Sensors which
are frequently used in HRI are:
- Visual sensing systems (such as camera, sonar, laser) to enable robotic sight
- Touch sensors (such as tactile, force, pressure sensors) to enable robotic touch
- Audio sensors (such as microphones and speakers) to enable robotic sound
- Wearable devices which capture information related to the user (e.g., EEG, EMG,IMU, etc.)
However, the sensory data are not perfect and
therefore, data analysis using different intelligent techniques
(machine learning) is required, which is very challenging.
This
workshop will focus on the current advances in the area of HRI, Robotic
Sensing, Robotic Intelligence and their applications. This workshop aims
to bring together researchers from different disciplines, such as
robotics, computer vision, data analysis, to share their experiences on
these aspects and how they can be beneficial in HRI.
Papers are solicited on all areas directly related to these topics, including but not limited to the following research topics.
Topics:
– Sensors in HRI
– Robot Vision
– Human Modelling
– Gesture Recognition and Motion Tracking
– Object Detection and Pose Estimation
– Speech Recognition
– Wearable Sensors
– Feedback Devices
– Machine Learning Techniques (including deep learning) for Sensory Data
– Adaptation and Learning
– Shared Control
– Safety in HRI
– Socially Assistive Robots
– Rehabilitation Robotics
– Cognitive and Physiological Assessment
– Task-driven HRI
– Robot Learning
– Sensors for Human-Robot Collaboration Systems
