IEEE Robotics & Automation Magazine - December 2022 - 8

FROM THE GUEST EDITORS
Biomimetic Perception, Cognition,
and Control: From Nature to Robots
By Chenguang Yang , Shan Luo, Nathan Lepora, Fanny Ficuciello,
Dongheui Lee, Weiwei Wan, and Chun-Yi Su
A
wide range of technological
developments are inspired by
biological individuals and advanced
synthetic materials,
cognitive sensors, control algorithms,
artificial intelligence technology, and intelligent
systems. One of the major challenges
is to create a comprehensive
study by integrating different techniques
into robotic
systems so
that the performance
of robots
can be
improved and
applied to more
complex and
diverse scenarios.
The articles
in t his issue
focus on the
state of the art
in biomimetic
p ercep t io n,
cognition, and control research and aim
to explore related technical avenues in
the multimodal bioinformation perception
framework, intelligent cognition
and learning, robotic systems and control,
and new biomimetic sensors.
In the research of multimodal bioinformation
perception framework,
Zou et al. propose the clinical readiness
of a multimodal fusion model
to estimate hand force based on
Digital Object Identifier 10.1109/MRA.2022.3213199
Date of current version: 2 December 2022
On the topic of
robot system and
control, Stella et al.
develop a feather
star-like robot that
can actuate layers of
flexible feathers and
detach them at will.
surface electromyography signals and
A-mode ultrasound signals of forearm
muscles. Yu et al. introduce a hybrid
visual-haptic framework enabling a
robot to achieve motion synchronization
in human-robot co-transporting.
Graf et al. build a framework for
transferring ideas from human scene
perception to robot scene perception
to contribute toward robots' holistic
scene understanding, based on a wide
survey and comparison of robotic
scene perception approaches with
neuroscience theories and studies of
human perception.
In the area of intelligent cognition
and learning, Zheng et al. propose a
biomimetic electric sense-based localization
scheme, including an electric
sense-based localization scheme and
three model-based perception methods
for large-scale underwater localization.
Lu and Wang introduce a
novel biomimetic force and impedance
adaption framework based on Broad
Learning System for robot control in
stable and unstable environments. The
connections of created neural network
layers and the settings of the feature
nodes are explainable by human motor
control and learning principles.
On the topic of robot system and
control, Stella et al. develop a feather
star-like robot that can actuate layers of
flexible feathers and detach them at will.
Based on this optimized feather and
theoretical framework, the new robotic
setup can change its motion path by
experiments show that RL can generate
substantially more energy-efficient gaits
than those generated by conventional
model-based controllers. Jiang et al. propose
a humanoid control method based
on visual servoing by utilizing a swivel
angle derived from the human arm to
realize the human-like behavior of
anthropomorphic robot manipulators.
The proposed method is substantiated
based on a 7-degree-of-freedom Sawyer
robot and a constructed visual servo
physical platform.
In the field of biomimetic sensors,
Zhang et al. design a rat-inspired
whisker sensor for a biomimetic robotic
rat and demonstrate its superior
tactile perception performance. Experimental
results demonstrate its
outstanding texture discrimination
ability and excellent performance on
contour reconstruction. Xia et al. develop
a soft magnetic tactile sensor
and a multipole magnetization method
for extracting contact surface features.
We sincerely thank all the
authors for their contributions and
the editors for their efforts and hope
that the contents of this issue can
bring information and inspiration to
researchers in related fields.
using the detachment of feathers while
maintaining the same low-level controller.
Bing et al. apply reinforcement learning
(RL) on snake-like robot control that
can fully exploit the hyper-redundant
bodies of the robot. Simulations and
8 * IEEE ROBOTICS & AUTOMATION MAGAZINE * DECEMBER 2022
https://orcid.org/0000-0001-5255-5559
IEEE Robotics & Automation Magazine - December 2022

Table of Contents for the Digital Edition of IEEE Robotics & Automation Magazine - December 2022
