Journal of Sensors

Robotic Perception of the Sight and Touch to Interact with Environments


Status
Published

Lead Editor

1University of Alicante, Alicante, Spain

2Institut Pascal, Clermont-Ferrand, France

3Vienna University of Technology, Vienna, Austria


Robotic Perception of the Sight and Touch to Interact with Environments

Description

We invite researchers to contribute original research articles as well as review articles that will stimulate new results in robot perception based on visual or/and tactile data The goal of this special issue is to explore the challenges and solutions to improve robot perception in indoor and outdoor environments. In this context, the sensing techniques are essential to allow robots to perform tasks autonomously (i.e., semantic perception from visual/tactile sensors, mapping and exploration for mobile robots, recognition, location and/or assessment of object properties, intelligent manipulation, grasp planning and manipulation learning from visual/tactile data, data-driven control based on visual/tactile sensing, etc.). In recent years, research and studies have sought new approaches or improvements of known methods and algorithms to achieve a robust sensing of dynamic and complex environments of the real world.

Potential topics include but are not limited to the following:

  • Image sensing (sight):
    • Novel sensors and technologies for data recovery of an environment for robotic perception
    • Novel filtering, processing, keypoints, and features estimation for 2D/3D image processing in applications with robots
    • Segmentation and surface modelling for object recognition in tasks with robots
    • Object recognition and pose estimation for grasping tasks, intelligent manipulation, and other tasks with robots
    • Environment reconstruction and mapping for robot navigation
    • Integration and sensorial fusion among vision sensors and others to improve the accuracy and robustness of sensing robots
    • Learning methods and techniques based on deep learning for environment and object recognition and interpretation to be able to get smart robots
  • Force and tactile sensing (touch):
    • Novel sensor and technologies that enhance pressure perception such as flexible tactile and artificial skins
    • Data processing and techniques used by force, pressure, and tactile systems for capturing physical properties of the environment such as shape, material, or texture of objects
    • Algorithms for autonomous calibration and learning in dynamic environments
    • Interpretation of tactile data for high level cognition for the interaction with dynamic environments in grasping tasks, intelligent manipulation, and so forth
    • Control strategies and algorithms using force and tactile sensors for humanoid, robotic prostheses, hand and arm robots, and so forth

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 1751205
  • - Editorial

Robotic Perception of the Sight and Touch to Interact with Environments

Pablo Gil | Youcef Mezouar | ... | Juan A. Corrales
  • Special Issue
  • - Volume 2016
  • - Article ID 1537891
  • - Research Article

A Study of Visual Descriptors for Outdoor Navigation Using Google Street View Images

L. Fernández | L. Payá | ... | M. Ballesta
  • Special Issue
  • - Volume 2016
  • - Article ID 8410731
  • - Research Article

Feature Selection for Intelligent Firefighting Robot Classification of Fire, Smoke, and Thermal Reflections Using Thermal Infrared Images

Jong-Hwan Kim | Seongsik Jo | Brian Y. Lattimer
  • Special Issue
  • - Volume 2016
  • - Article ID 2546819
  • - Research Article

Monte Carlo Registration and Its Application with Autonomous Robots

Christian Rink | Simon Kriegel | ... | Tim Bodenmüller
  • Special Issue
  • - Volume 2016
  • - Article ID 8070286
  • - Research Article

Underwater Object Tracking Using Sonar and USBL Measurements

Filip Mandić | Ivor Rendulić | ... | Đula Nađ
  • Special Issue
  • - Volume 2016
  • - Article ID 4265042
  • - Research Article

Robotic Visual Tracking of Relevant Cues in Underwater Environments with Poor Visibility Conditions

Alejandro Maldonado-Ramírez | L. Abril Torres-Méndez
  • Special Issue
  • - Volume 2016
  • - Article ID 8594096
  • - Research Article

Vision-Based Autonomous Underwater Vehicle Navigation in Poor Visibility Conditions Using a Model-Free Robust Control

Ricardo Pérez-Alcocer | L. Abril Torres-Méndez | ... | A. Alejandro Maldonado-Ramírez
  • Special Issue
  • - Volume 2016
  • - Article ID 2107872
  • - Research Article

Indoor Positioning System Using Depth Maps and Wireless Networks

Jaime Duque Domingo | Carlos Cerrada | ... | J. A. Cerrada
  • Special Issue
  • - Volume 2016
  • - Article ID 8051945
  • - Research Article

Cable Crosstalk Suppression in Resistive Sensor Array with 2-Wire S-NSDE-EP Method

JianFeng Wu | Lei Wang
Journal of Sensors
 Journal metrics
Acceptance rate30%
Submission to final decision78 days
Acceptance to publication38 days
CiteScore3.900
Impact Factor1.595
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