Journal of Robotics

Biologically Inspired Robotics


Status
Published

Lead Editor

1Beijing Institute of Technology, Beijing, China

2The American University in Cairo, Cairo, Egypt

3Kagawa University, Takamatsu, Japan

4University of Essex, Colchester, UK


Biologically Inspired Robotics

Description

The evolution of robotics has enabled today’s robots to operate in a variety of unstructured and dynamically changing environments in addition to traditional structured environments. Intelligent robots will soon be ready to serve in our home, hospital, office, and outdoors. One key approach to the development of such intelligent and autonomous robots draws inspiration from behavior demonstration of biological systems.

In fact, using this approach, a number of new application areas have recently received significant interests in the robotics community, including service robots, medical robots, education robots, and entertainment robots. It is clear that bioinspired methods are becoming increasingly important in the face of the complexity of today’s demanding applications. Biological inspiration in robotics is leading to complex structures with sensory-motor coordination, in which learning often plays an important role in achieving adaptation. This special issue will focus on the theoretical and technological challenges of evolutionary transformation from biological systems to intelligent robots. All aspects of biologically inspired robots are welcome.

Potential topics include, but are not limited to:

  • Robotics, mobile robots, aerial robots, and underwater robots
  • Biomimetics, biologically inspired robots, climbing robots, snake robots, and walking robots
  • Automation, control systems, simulation techniques, and control applications
  • Sensor design, multisensor data fusion, and wireless sensor networks
  • MEMS, nanotechnology, NEMS, and micro/nanosystems
  • Telerobotics, human-robot interaction, and human computer interaction
  • Medical robotics and biomedical and rehabilitation engineering
  • Multirobot systems and distributed robotics
  • Computer vision and image processing

Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 894394
  • - Editorial

Biologically Inspired Robotics

Liwei Shi | Maki K. Habib | ... | Huosheng Hu
  • Special Issue
  • - Volume 2015
  • - Article ID 649819
  • - Research Article

Rolling Locomotion Control of a Biologically Inspired Quadruped Robot Based on Energy Compensation

Takuma Nemoto | Rajesh Elara Mohan | Masami Iwase
  • Special Issue
  • - Volume 2015
  • - Article ID 791865
  • - Research Article

Development and Motion Testing of a Robotic Ray

Jianhui He | Yonghua Zhang
  • Special Issue
  • - Volume 2015
  • - Article ID 763710
  • - Research Article

Unified Switching between Active Flying and Perching of a Bioinspired Robot Using Impedance Control

Shanshan Du | Heping Chen | ... | Runting Hu
  • Special Issue
  • - Volume 2015
  • - Article ID 643869
  • - Research Article

Action Selection and Operant Conditioning: A Neurorobotic Implementation

André Cyr | Frédéric Thériault
  • Special Issue
  • - Volume 2015
  • - Article ID 919073
  • - Research Article

Bioinspired Tracking Control of High Speed Nonholonomic Ground Vehicles

Adam Shoemaker | Alexander Leonessa
  • Special Issue
  • - Volume 2015
  • - Article ID 251379
  • - Research Article

Unmanned Aerial Vehicle Navigation Using Wide-Field Optical Flow and Inertial Sensors

Matthew B. Rhudy | Yu Gu | ... | Jason N. Gross
  • Special Issue
  • - Volume 2015
  • - Article ID 312780
  • - Research Article

Development and Evaluation of Compact Robot Imitating a Hermit Crab for Inspecting the Outer Surface of Pipes

Naoto Imajo | Yogo Takada | Mikiji Kashinoki
  • Special Issue
  • - Volume 2015
  • - Article ID 435385
  • - Research Article

Sparse Approximation for Nonrigid Structure from Motion

Yaming Wang | Xiaomeng Yan | ... | Mingfeng Jiang
  • Special Issue
  • - Volume 2015
  • - Article ID 596327
  • - Research Article

Inverse Kinematic Analysis and Evaluation of a Robot for Nondestructive Testing Application

Zongxing Lu | Chunguang Xu | ... | Xinliang Li
Journal of Robotics
 Journal metrics
Acceptance rate38%
Submission to final decision63 days
Acceptance to publication69 days
CiteScore0.930
Impact Factor-
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