the proceedings contain 73 papers. the topics discussed include: online error evaluation of capacitive voltage transformer based on improved temporal convolutional network autoencoder;novel design for a hybrid aerial ...
ISBN:
(纸本)9798350370003
the proceedings contain 73 papers. the topics discussed include: online error evaluation of capacitive voltage transformer based on improved temporal convolutional network autoencoder;novel design for a hybrid aerial underwater vehicle;design and experiment of safflower intelligent picking end effector system;a new mechanism designed for ophthalmic microsurgery and a method for identifying the home-length of 6-SPS Stewart platform;a robot navigation method using restricted minimum spanning tree;a fast frequency control based on extended Kalman filter using energy storage system;trajectory prediction method for high-speed aircraft based on unscented transformation;and analysis and solution of voltage rise phenomenon in small inductive current switching test of high voltage AC disconnector.
the proceedings contain 56 papers. the topics discussed include: development of motorized wheelchair bearing safety feature in electronic control module;design and analysis of cellular multidimensional morphing linkag...
ISBN:
(纸本)9798350394276
the proceedings contain 56 papers. the topics discussed include: development of motorized wheelchair bearing safety feature in electronic control module;design and analysis of cellular multidimensional morphing linkage of aircraft fuselage;a numerical algorithm for optimal selection of the driving mechanisms for ExoReha exoskeleton;a two-stage clustering method for point clouds based on cooperative perception of vehicle-to-vehicle;exploring a novel rehabilitation soft robot design for stroke patients with clenched fists;experimental investigation of relationship between inner ground resistance force and vibration kinds for underground moving robots;tracking system for heavy transport with sensors and IOT;and presence in multi-presence: analysis of multitasking ability according to high or low presence based on working memory.
An efficient robot navigation is considered as an important issue in many sectors, such as warehousing, logistics, and inventory systems. the primary objective of the robot navigation system is to make the robot reach...
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ISBN:
(纸本)9798350370010;9798350370003
An efficient robot navigation is considered as an important issue in many sectors, such as warehousing, logistics, and inventory systems. the primary objective of the robot navigation system is to make the robot reach destination with accuracy and consuming less resources. In this paper, the Radio Frequency Identification technology is used to navigate the robot to the specific destination place. In the methodology, the RFID communication network is modelled as a graph and the Minimum Spanning Tree is computed from the graph. In addition, the paper proposed a Restricted Minimum Spanning Tree, which is compatible with communication range of RFID tags. the robot navigation through the Restricted Minimum Spanning Tree provides the robot with many benefits such as saving the robot battery life time, increase fastness in reaching the destination, and the accuracy in reaching the destination. the Simulation has been carried out on the proposed method to analyze the various system parameters.
Medical and agricultural robotics critically depend on tactile and flexible sensors to safely interact with living tissue and fragile objects. Traditional rigid robots, composed of materials like metal or plastic, lac...
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ISBN:
(纸本)9798350370010;9798350370003
Medical and agricultural robotics critically depend on tactile and flexible sensors to safely interact with living tissue and fragile objects. Traditional rigid robots, composed of materials like metal or plastic, lack adaptability, imposing constraints in environments requiring precise and safe interactions, such as limb rehabilitation or delicate object handling. Soft robot components, specifically engineered to engage with living tissue or fragile objects, present a promising solution due to their hyper-elasticity and conductivity. this paper introduces a novel method for fabricating flexible strain sensors using a 3D-printed soft-sensing body, ensuring flexibility and cost-effectiveness. these sensors, characterised by high resistivity and easy 3D printing capability, play a critical role in advancing soft robotics. the research focuses on designing and implementing flexible strain sensors integrated with Arduino circuitry for efficient data acquisition and analysis of electrical components. Experimental investigations demonstrate that sensor resistance is significantly affected by deflection, conductor thickness, and curvature, rendering them suitable for real-time sensing applications such as hand-wearable gloves for monitoring rehabilitation progress.
Robot-assisted ophthalmic surgery (RAOS) advancements have transformed precision in eye surgical procedures. RAOS offers unparalleled accuracy and dexterity, allowing for intricate maneuvers in delicate ocular structu...
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ISBN:
(纸本)9798350370010;9798350370003
Robot-assisted ophthalmic surgery (RAOS) advancements have transformed precision in eye surgical procedures. RAOS offers unparalleled accuracy and dexterity, allowing for intricate maneuvers in delicate ocular structures with minimized invasiveness. However, ensuring the reliability and quality of the instruments' pivot point at the trocar, called Remote Center Motion (RCM), is imperative to uphold patient safety and surgical efficacy. Hence, real-time monitoring and tracing of RCM performance parameters are pivotal in minimizing surgical trauma and averting adverse outcomes. Our approach showcases a precise pipeline for recognizing RCM misalignment by integrating the robot's kinematic software data with neural network-based pose estimation methodologies withthe mean absolute rotation error of 5.48, tested on a 23G surgical cannula with a diameter of 0.640 mm. this method uses a high-resolution camera at 4024 x 3036 capable of processing at 20 frames per second.
In the field of service robotics, multi-object rearrangement is an indispensable skill, extensively employed in various tasks such as desk clearing, shelf organizing, or furniture arrangement. Traditionally, achieving...
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ISBN:
(纸本)9798350370010;9798350370003
In the field of service robotics, multi-object rearrangement is an indispensable skill, extensively employed in various tasks such as desk clearing, shelf organizing, or furniture arrangement. Traditionally, achieving multi-object rearrangement involves complex steps including precise object recognition, spatial planning, and fine-grained motion control. these methods are not only time-consuming but also struggle to adapt to dynamic environments. Recently, Large Language Models (LLMs) have been gaining increasing attention in the field of artificial intelligence, and their integration with robotic technologies has opened new possibilities for multi-object rearrangement. Our proposed approach leverages the advanced features of LLMs to acquire commonsense knowledge about semantically effective object configurations related to multi-object rearrangement. We then employ LLMs for task planning, resorting to traditional methods only in the final stage for actualizing specific arrangement actions. By combining LLMs with traditional techniques, our method significantly simplifies the process of multi-object rearrangement tasks for robots. Furthermore, our approach demonstrates adaptability to dynamic environments, thereby expanding the potential applications of service robots in real-world settings.
there are many known common problems when attempting to control a robot in different tasks;sometimes the motors make a greater control effort to position or imposing a behavior to the links in an expected way. this pa...
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ISBN:
(纸本)9798350394283;9798350394276
there are many known common problems when attempting to control a robot in different tasks;sometimes the motors make a greater control effort to position or imposing a behavior to the links in an expected way. this paper presents a study on how the modulation of the dynamic response of a robot with more than one redundant degree of freedom must be performed. It is of utmost importance the joint space analysis carried out to select stiffness and damping parameters, which allows the accommodation or achievement of a desired level of control criteria, such as damping ratios with corresponding natural frequencies. Simulations are performed on a UR10e robot from Universal Robots, a very popular cobot.
Functional electrical stimulation (FES)-based therapy strengthens the muscles of people with spinal cord injury (SCI) but causes rapid muscle fatigue, limiting the duration of the exercise. Hybrid neuroprostheses can ...
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ISBN:
(纸本)9798350386523;9798350386530
Functional electrical stimulation (FES)-based therapy strengthens the muscles of people with spinal cord injury (SCI) but causes rapid muscle fatigue, limiting the duration of the exercise. Hybrid neuroprostheses can prolong therapy by placing more control effort on exoskeleton motors in response to muscle fatigue, allowing the muscle time to recover. While a variety of hybrid controllers have been developed, the functional utility of hybrid therapy for walking has yet to be established. the fatigue mitigation capability of a hybrid model predictive control (MPC) was quantified using ultrasound-derived fatigue metrics. Participants with SCI walked in a lower-limb hybrid neuroprosthesis under the following three conditions: FES-only control, exoskeleton-only control, and a hybrid model predictive control of the left knee joint. Ultrasound images were taken before and after each trial to quantify quadriceps fatigue progression. the results show a strong relationship between FES dosage from MPC and change in muscle fatigue state and highlight the need for fatigue-informed FES modulation during walking. these findings may serve to inform hybrid FES-exoskeleton control strategies for SCI rehabilitation.
Industrial employees working in manual material handling tasks are prone to musculoskeletal disorders. these impacts workers' health, development, and productivity. An active exoskeleton is a potential solution fo...
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ISBN:
(纸本)9798350386523;9798350386530
Industrial employees working in manual material handling tasks are prone to musculoskeletal disorders. these impacts workers' health, development, and productivity. An active exoskeleton is a potential solution for reducing the risk of workplace injuries. Because active exoskeletons are mechanical devices withelectrical components such as sensors, actuators, and control modules, the user must have access to configuration options to adjust the control strategy before performing tasks. Large language models present an alternative approach to achieve human-machine interaction in a more natural way using the human voice and allow the exoskeleton wearer to make simple adjustments and modifications in the controller to modulate the proper assistive forces. this paper presents an evaluation of usability attributes for a voice user interface to command and modify exoskeleton domains and achieve a level of interaction withthe wearable device. Experiments were performed using seventeen subjects using a voice and visual interface withthe back-support exoskeleton Xotrunk. the results showed that the voice user interface has a greater level of satisfaction, efficiency, effectiveness, and a lower degree of cognitive load than the visual interface.
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