Physical World Cognition for Robotic Application
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".
Deadline for manuscript submissions: closed (30 June 2023) | Viewed by 9238
Special Issue Editors
Interests: robotics; mechatronics; human–robot interaction; system integration; biorobotics; social robot; mobile robot; rehabilitation robotics; smart pedagogy; technology-enhanced learning
Interests: 3D/4D scanning; multi-modal and multi-directional 3D/4D scanning; 3D/4D data processing; 3D segmentation and recognition; automation of visual sensing processes; automation of 3D digitization
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Various systems using robotic technology are being put to practical use. Perception of the outside / external world (physical world) is the first process for performing a task in human behavior and robotic system operation.
In this Special Issue, we are calling for papers on cognition in robotic systems and applications using that cognitive function. Cognition is for judging and deciding the following action, and the action is to actualize the application in a robotic system. Therefore, cognitive function is closely related to the application. A robotic system needs to take some action to realize something, and it perceives the physical world to judge and decide its operation.
Cognition and its application in robotic systems (mechatronic systems, intelligent vehicles, etc.) are possible topics. Examples include the following topics but are not limited to them:
- a personal robot recognizes and identifies the user's behavior to check the user's health status;
- a robot helpmate that can learn from the environments so that it can robustly perceive dynamic environments with minimal/no human intervention;
- a mobile service robot observes a dynamically changing indoor/outdoor environment to carry out transportation work efficiently;
- a robot working in a retail shop recognizes an object's shape and determines its grasping method for merchandise display;
- a self-driving car perceives the external environment so that it can continue driving in any environmental conditions with consistent reliability;
- a drone must perceive dynamic environments and react accordingly to execute tasks and land autonomously;
- a robotic agricultural machine needs to accurately grasp the current land conditions for automatic operation such as tilling, plowing, and fertilizer application;
- a robotic system needs to assess the surface or object current state to influence the actual process control parameters;
- an underwater robot to explore the deep ocean must automatically sense the environment and behave correctly in communication-limited, low-light and high-pressure situations.
Prof. Dr. Takafumi Matsumaru
Prof. Dr. Robert Sitnik
Guest Editors
Manuscript Submission Information
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Keywords
- physical / external / outside world
- sensation / perception/ cognition
- judgement / decision
- sensor fusion
- object detection
- shape recognition
- human-robot interaction
- human motion / action / behaviour
- scene understanding
- dynamic environmental
- 3D/4D reconstruction
- robotics system
- mechatronic system
- intelligent system
- robot manipulator
- mobile robot
- service robot
- intelligent vehicle
- self-driving car
- UAV (Unmanned Aerial Vehicle)
- AUV (Autonomous Underwater Vehicle)
- mapping and localization
- vision sensor
- depth camera
- RBG-D sensor
- range scanner
- LiDAR (Light Imaging Detection and Ranging) / RADAR (Radio Detection and Ranging)
- 3D/4D Point Cloud
- IMU (Inertial Measurement Unit)
- GPS (Global Positioning System) / GNSS (Global Navigation Satellite System)
- supervised control / shared autonomy
- motion / task planning
- Machine Learning (Machine Learning) / Deep Learning (DL) / Reinforcement Learning (RL)
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