Disaster response and recovery from the perspective of robotics

Park, Shinsuk; Oh, Yoojin; Hong, Daehie

doi:10.1007/s12541-017-0175-4

Cited by 24 publications

(6 citation statements)

References 20 publications

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“…For instance, the platform’s walking and height posture control capabilities make it suitable for applications in humanoid robotics. It can be utilized for human-like locomotion in scenarios that require bipedal robots to navigate complex environments, such as disaster response or service robotics [ 26 ]. The YU-Bibot platform could find applications in the field of rehabilitation and assistive devices.…”

Section: Discussionmentioning

confidence: 99%

Parametric Design and Prototyping of a Low-Power Planar Biped Robot

2023

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This study proposes a design approach and the development of a low-power planar biped robot named YU-Bibot. The kinematic structure of the robot consists of six independently driven axes, and it weighs approximately 20 kg. Based on biomimetics, the robot dimensions were selected as the average anthropomorphic dimensions of the human lower extremities. The optimization of the mechanical design and actuator selection of the robot was based on the results of parametric simulations. The natural human walking gait was mimicked as a walking pattern in these simulations. As a result of the optimization, a low power-to-weight ratio of 30 W/kg was obtained. The drive system of the robot joints consists of servo-controlled brushless DC motors with reduction gears and additional bevel gears at the knee and ankle joints. The robot features spring-supported knee and ankle joints that counteract the robot’s weight and compensate for the backlash present in these joints. The robot is constrained to move only in the sagittal plane by using a lateral support structure. The robot’s feet are equipped with low-cost, force-sensitive resistor (FSR)-type sensors for monitoring ground contact and zero-moment point (ZMP) criterion. The experimental results indicate that the proposed robot mechanism can follow the posture commands accurately and demonstrate locomotion at moderate stability. The proposed parametric natural gait simulation-based design approach and the resulting biped robot design with a low power/weight ratio are the main contributions of this study.

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Section: Discussionmentioning

confidence: 99%

Parametric Design and Prototyping of a Low-Power Planar Biped Robot

2023

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“…Although AI has many forms, this report concentrates on using AI such as robotics, drones, machine learning, deep learning, sensors, and algorithms utilized in the context of catastrophe prediction and facilitating speedier rescue and relief delivery activities [20][21][22][23]. Robotics and robots have been around for decades, but due to the recent increasing trend in sensor and compute technology, robots have evolved from close to zero decision-making devices to truly automated and artificially intelligent machines [24].…”

Section: Artificial Intelligence and Disaster Managementmentioning

confidence: 99%

Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management

et al. 2021

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Technical and methodological enhancement of hazards and disaster research is identified as a critical question in disaster management. Artificial intelligence (AI) applications, such as tracking and mapping, geospatial analysis, remote sensing techniques, robotics, drone technology, machine learning, telecom and network services, accident and hot spot analysis, smart city urban planning, transportation planning, and environmental impact analysis, are the technological components of societal change, having significant implications for research on the societal response to hazards and disasters. Social science researchers have used various technologies and methods to examine hazards and disasters through disciplinary, multidisciplinary, and interdisciplinary lenses. They have employed both quantitative and qualitative data collection and data analysis strategies. This study provides an overview of the current applications of AI in disaster management during its four phases and how AI is vital to all disaster management phases, leading to a faster, more concise, equipped response. Integrating a geographic information system (GIS) and remote sensing (RS) into disaster management enables higher planning, analysis, situational awareness, and recovery operations. GIS and RS are commonly recognized as key support tools for disaster management. Visualization capabilities, satellite images, and artificial intelligence analysis can assist governments in making quick decisions after natural disasters.

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“…However, although remarkable advances have been made in humanoid technologies, humanoid robots with human-level mobility and manipulability are still a distant prospect. As demonstrated at the DARPA Robotics Challenge held in 2015, state-of-the-art robotic systems struggle with simple physical tasks that their human counterparts can easily perform in daily life [ 1 ].…”

Section: Introductionmentioning

confidence: 99%

Standing Balance Control of a Bipedal Robot Based on Behavior Cloning

et al. 2022

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Bipedal robots have gained increasing attention for their human-like mobility which allows them to work in various human-scale environments. However, their inherent instability makes it difficult to control their balance while they are physically interacting with the environment. This study proposes a novel balance controller for bipedal robots based on a behavior cloning model as one of the machine learning techniques. The behavior cloning model employs two deep neural networks (DNNs) trained on human-operated balancing data, so that the trained model can predict the desired wrench required to maintain the balance of the bipedal robot. Based on the prediction of the desired wrench, the joint torques for both legs are calculated using robot dynamics. The performance of the developed balance controller was validated with a bipedal lower-body robotic system through simulation and experimental tests by providing random perturbations in the frontal plane. The developed balance controller demonstrated superior performance with respect to resistance to balance loss compared to the conventional balance control method, while generating a smoother balancing movement for the robot.

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Disaster response and recovery from the perspective of robotics

Cited by 24 publications

References 20 publications

Parametric Design and Prototyping of a Low-Power Planar Biped Robot

Parametric Design and Prototyping of a Low-Power Planar Biped Robot

Toward an Integrated Disaster Management Approach: How Artificial Intelligence Can Boost Disaster Management

Standing Balance Control of a Bipedal Robot Based on Behavior Cloning

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