Wearable Hand-Rehabilitation System with Soft Gloves for Patient with Face Paralysis and Disability

Artificially intelligent advances such as tech gloves allow handicapped wearers to handle daily matters as normal. A wearable hand-rehabilitation system, i.e., a robotic arm, is engineered with controlled programming to control a disabled hand with features such as movement of fingers and holding items. A life-threatening disease (stroke) is caused when brain cells start to die, causing around 50–70% of patients to face paralysis and disability. People may face after-effects such as reduced use of the hand and limb or a paralyzed hand. Many methods have been introduced to overcome these issues, including therapies, but they are not so reliable when overcoming disability issues. To overcome these issues, we proposed a smart robotic hand that encounters hand disability issues. The smart robotic hand will aid the hands of disabled people by replacing their disabled hand with the smart robotic hand and by controlling the movement of the robot with the movement of the other hand. This can also be helpful for environments where it is not feasible for humans to work, such as in nuclear reactors and in bomb disposal squads. Some people have disabilities of the hand, so this smart robotic hand can also be used in that scenario. The robotic hand is mainly controlled through a flex sensor. By using Arduino, flex sensor outputs are mapped accordingly to the servo motors. The robot is controlled by a wired arrangement.

Design and Implementation of Intelligent EOD System Based on Six-Rotor UAV

Explosive ordnance disposal (EOD) robots can replace humans that work in hazardous environments to ensure worker safety. Thus, they have been widely developed and deployed. However, existing EOD robots have some limitations in environmental adaptation, such as a single function, slow action speed, and limited vision. To overcome these shortcomings and solve the uncertain problem of bomb disposal on the firing range, we have developed an intelligent bomb disposal system that integrates autonomous unmanned aerial vehicle (UAV) navigation, deep learning, and other technologies. For the hardware structure of the system, we design an actuator constructed by a winch device and a mechanical gripper to grasp the unexploded ordnance (UXO), which is equipped under the six-rotor UAV. The integrated dual-vision Pan-Tilt-Zoom (PTZ) pod is applied in the system to monitor and photograph the deployment site for dropping live munitions. For the software structure of the system, the ground station exploits the YOLOv5 algorithm to detect the grenade targets for real-time video and accurately locate the landing point of the grenade. The operator remotely controls the UAV to grasp, transfer, and destroy grenades. Experiments on explosives defusal are performed, and the results show that our system is feasible with high recognition accuracy and strong maneuverability. Compared with the traditional mode of explosives defusal, the system can provide decision-makers with accurate information on the location of the grenade and at the same time better mitigate the potential casualties in the explosive demolition process.

Deployment Of Robot Arms With A Leader-Follower Approach For Bomb Disposal

<div>Improvised Explosive Devices (IEDs) have been developed over the years across many nations around the world. IEDs used by terrorist actions and in warfare cause devastating death, injuries and damage. To protect the public, many emergency responders have to risk their lives by performing extremely hazardous tasks such as interacting with suspected IEDs. To prevent the emergency response teams from being negatively impacted by IEDs, many different kinds of response robots have been deployed in many locations worldwide – allowing first responders a safe way to interact with these menaces from a distance. This thesis contributes to the understanding of using robot arms with a Leader–Follower (LF) approach to help humans with performing dexterous operations like those which are inevitably required for manipulating IEDs remotely. The LF approach allows operators to remotely manipulate a robot arm without putting operators’ lives in danger. By physically controlling one arm from a safe distance, operators can successfully copy its movements to a second arm. As a result, we argue, this approach can be helpful for minimizing operator risk when interacting with suspicious devices while at the same time facilitating more intuitive remote control.</div>

Deployment Of Robot Arms With A Leader-Follower Approach For Bomb Disposal

<div>Improvised Explosive Devices (IEDs) have been developed over the years across many nations around the world. IEDs used by terrorist actions and in warfare cause devastating death, injuries and damage. To protect the public, many emergency responders have to risk their lives by performing extremely hazardous tasks such as interacting with suspected IEDs. To prevent the emergency response teams from being negatively impacted by IEDs, many different kinds of response robots have been deployed in many locations worldwide – allowing first responders a safe way to interact with these menaces from a distance. This thesis contributes to the understanding of using robot arms with a Leader–Follower (LF) approach to help humans with performing dexterous operations like those which are inevitably required for manipulating IEDs remotely. The LF approach allows operators to remotely manipulate a robot arm without putting operators’ lives in danger. By physically controlling one arm from a safe distance, operators can successfully copy its movements to a second arm. As a result, we argue, this approach can be helpful for minimizing operator risk when interacting with suspicious devices while at the same time facilitating more intuitive remote control.</div>

Dynamic Analysis and Simulation of the Hydraulic Control System on the Remote-Controlled Explosive Ordnance Disposal Machine

The remote-controlled explosive ordnance disposal machine, an important device used in the military, has been developed in many countries. It has become more intelligent and multi-functional due to being integrated with many functional components. New generations have been equipped with a completely remote-controlled system and high-resolution cameras. In bomb disposal work, this integrated machine can be used to replace other single-operating machines which allow to reduce greatly consuming time and labor effort as well as safety for operators. There are significant distinctions in design among well-known manufacturers. One of important components of this machine is hydraulic system that drives operating equipment of the machine. This paper focuses on analyzing and simulating dynamic model of the hydraulic system during the bomb laying process. The main target of this study is to meet the requirements for controlling a remote-controlled explosive ordnance disposal machine with high specific power, low hysteresis, high precision control, which ensures precision operation and safety.

Reconfigurable platform for 3D-panoramic telepresence system for mobile applications

The concept of telepresence allows human beings to interact with hazardous environments and situations without facing any actual risks. Examples include the nuclear industry, outer space and underwater operations, mining, bomb disposal and firefighting. Recent progress in digital system technology, especially in technology of reconfigurable logic devices (e.g. FPGA), allows the effective implementation of advanced embedded systems characterized by high-performance data processing and high-bandwidth communication. However, most of the existing telepresence systems do not benefit from these advancements. Therefore, the goal of this work was to develop a concept and architecture of the platform for the 3D-Panoramic Telepresence System for mobile robotic applications based on reconfigurable logic devices. During the development process, two versions of the system were implemented. The first system focused on feasibility testing of major components of the proposed architecture. Based on the experimental results obtained on the first prototype of the system and their analyses, a set of recommendations were derived for an updated version of the system. These recommendations were incorporated into the implementation of the second and final version of the system.