scholarly journals Real-Time Robust 3D Plane Extraction for Wearable Robot Perception and Control

2018 ◽  
Author(s):  
Ran Duan ◽  
Shuangyue Yu ◽  
Guang Yue ◽  
Richard Foulds ◽  
Chen Feng ◽  
...  
Keyword(s):  
Wearable Robot ◽  
Intelligent Control System ◽  
Robot Perception ◽  
Perception System ◽  
Plane Extraction ◽  
Environment Perception ◽  
Model Transition ◽  
Terrain Sensing ◽  
Task Oriented ◽  
And Control

Wearable environment perception system has the great potential for improving the autonomous control of mobility aids [1]. A visual perception system could provide abundant information of surroundings to assist the task-oriented control such as navigation, obstacle avoidance, object detection, etc., which are essential functions for the wearers who are visually impaired or blind [2, 3, 4]. Moreover, a vision-based terrain sensing is a critical input to the decision-making for the intelligent control system. Especially for the users who find difficulties in manually achieving a seamless control model transition.

Design of Romote Home Intelligent Control System

2013 ◽  
Vol 303-306 ◽  
pp. 1481-1484
Author(s):  
Peng Ju Zhang ◽  
Gai Zhi Guo
Keyword(s):  
Control System ◽  
Remote Control ◽  
Embedded System ◽  
Intelligent Control ◽  
Intelligent Controller ◽  
Intelligent Control System ◽  
Intelligent Home ◽  
Intelligent Management ◽  
And Control ◽  
Developing Platform

The romote intelligent home system design based on WAVECOM Q2406B Module and ARM7 S3C44B0X was elaborated, GPRS technology was used to realize remote control, RS485 bus technique was used to net the home system, and embedded system was used to establish the developing platform of Home Intelligent controller which can realize intelligent management and control of home applications. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.

scholarly journals INSPEX: Optimize Range Sensors for Environment Perception as a Portable System

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4350 ◽  
Author(s):  
Julie Foucault ◽  
Suzanne Lesecq ◽  
Gabriela Dudnik ◽  
Marc Correvon ◽  
Rosemary O’Keeffe ◽  
...  
Keyword(s):  
Weather Conditions ◽  
Obstacle Detection ◽  
Ultra Wideband ◽  
Human Beings ◽  
Computational Capability ◽  
Perception System ◽  
Environment Perception ◽  
Wideband Radar ◽  
Multiple Sensing ◽  
Range Sensors

Environment perception is crucial for the safe navigation of vehicles and robots to detect obstacles in their surroundings. It is also of paramount interest for navigation of human beings in reduced visibility conditions. Obstacle avoidance systems typically combine multiple sensing technologies (i.e., LiDAR, radar, ultrasound and visual) to detect various types of obstacles under different lighting and weather conditions, with the drawbacks of a given technology being offset by others. These systems require powerful computational capability to fuse the mass of data, which limits their use to high-end vehicles and robots. INSPEX delivers a low-power, small-size and lightweight environment perception system that is compatible with portable and/or wearable applications. This requires miniaturizing and optimizing existing range sensors of different technologies to meet the user’s requirements in terms of obstacle detection capabilities. These sensors consist of a LiDAR, a time-of-flight sensor, an ultrasound and an ultra-wideband radar with measurement ranges respectively of 10 m, 4 m, 2 m and 10 m. Integration of a data fusion technique is also required to build a model of the user’s surroundings and provide feedback about the localization of harmful obstacles. As primary demonstrator, the INSPEX device will be fixed on a white cane.

A Walking-Assistant Robot Controlled by Tactile-Slip Sensation

2014 ◽  
Vol 494-495 ◽  
pp. 1133-1136 ◽  
Author(s):  
Xiao Juan Wei ◽  
Xiao Dong Zhang
Keyword(s):  
Control System ◽  
Nearest Neighbor ◽  
The Elderly ◽  
Feature Representation ◽  
K Nearest Neighbor ◽  
Human Interface ◽  
Physical Support ◽  
Robot Perception ◽  
Perception System ◽  
Slip Sensor

A walking-assistant robot guided by the intention and power-driven is presented, its purpose is to provide physical support and walking assistance for the elderly to meet their needs of walking autonomy, friendliness, and maintaining the ability of walking and taking care of themselves. Tactile and slip sensor is selected as the human interface to perceive the users walking intent, and the sensor is also used to detect the user's slip trend. And the paper researches the feature representation and extraction method of tactile and slip signal for driving control pattern recognition. An improved classification and identification method combining K-means in clustering and K-nearest neighbor algorithm in classification is proposed. The paper introduces the overall design schemes of tactile and slip drive control system of walking-assistant robot, perception system, motion control system. Finally the feasibility and effectiveness of the entire system are verified by experiment.

Sensing and Control of a Multi-Joint Soft Wearable Robot for Upper-Limb Assistance and Rehabilitation

2021 ◽  
Vol 6 (2) ◽  
pp. 2381-2388
Author(s):  
Tommaso Proietti ◽  
Ciaran O'Neill ◽  
Cameron J. Hohimer ◽  
Kristin Nuckols ◽  
Megan E. Clarke ◽  
...  
Keyword(s):  
Upper Limb ◽  
Wearable Robot ◽  
And Control

Innovative Teaching Research on the Course of Intelligent Control System and Simulation

2013 ◽  
Vol 709 ◽  
pp. 441-444
Author(s):  
Zhao Yang Yang ◽  
Jie Chen ◽  
Pan Wang
Keyword(s):  
Control System ◽  
Control Systems ◽  
Intelligent Control ◽  
Teaching Model ◽  
Innovative Teaching ◽  
Teaching System ◽  
Intelligent Control System ◽  
Teaching Research ◽  
Systems Simulation ◽  
And Control

Innovative teaching research on the teaching system of intelligent control and control systems simulation is developed: based on the principle of methodological integration, a teaching model in classroom with seminars is established; an intelligent teaching software system is developed for effectively supporting the teaching.

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