This CFP of the Workshop on Functional Adaptiveness in Soft Sensors and Sensing Technology (FASeSo) co-located with The 6th IEEE-RAS International Conference on Soft Robotics (RoboSoft 2023).

Workshop page: https://sites.google.com/view/workshop-robosoft2023/home

**Abstract**

Sensor morphology has been a long-standing attractive research theme to biologists, cognitive scientists, and most recently, robotic engineers thanks to the rapid emergence of soft robotics. While biological sensing systems often evolved with adaptive morphology enabling their functionality in various environments, soft robotic sensors are usually designed for specific tasks in well-defined environments, limiting the adaptability to less constructed real-world applications, e.g., rescue robots in disasters. This has inspired robotic engineers to exploit morphological approaches for functional adaptiveness in soft sensors and sensing technology. Despite the advancement in this theme, there are still numerous fundamental gaps in matching the adaptability of robotic systems to that biological systems. This workshop aims to discuss and summarize the current progress and viable technology of functional adaptiveness in soft sensors and sensing technology and to extend our understanding of the role of sensor morphology in accomplishing different tasks in different environments. We are heading towards integrative debates across biology and engineering points of view that are expected to shed light on basic guidelines for systematic investigation and development of a new way of soft-sensing systems for soft robots.

**Call for Contributions**

We invite relevant contributions that fit topics of interest as shown below (but not limited to):
- Paradigms of morphological design for soft sensors
- Soft sensors with variable stiffness;
- Shape-changing sensors;
- Bioinspired and biomimetic soft sensors with functional tunability;
- Novel materials and mechanisms for adaptive morphology;
- Interrelationships between morphology and sensing and perception;
- Model-based and learning-based algorithms for control and optimization of morphological change;
- Novel technologies for adaptiveness in soft sensing, perception, and control.
- Co-evolution approaches for sensor morphology and control policy.

Accepted submissions will have a chance to present their works with a short introduction in the pitch session and in more depth in the poster session

*** Organizing Committees ***

The workshop is co-organized by:

Nhan Huu Nguyen, Japan Advanced Institute of Science and Technology, Japan.
Qiukai Qi, University of Bristol, United Kingdom.
Helmut Hauser, University of Bristol, United Kingdom.

*** Important dates ***

Abstract submission deadline: 28 February 2023

Notification: 7 March 2023

Workshop date: 3 April 2023 (Singapore)