This research explores the application of Genetic Algorithm (GA)-driven optimization to enhance accessibility in the realm of mobile robotics. The pivotal challenge addressed is the efficient optimization of robot pat...
详细信息
ISBN:
(纸本)9798350373172;9798350373189
This research explores the application of Genetic Algorithm (GA)-driven optimization to enhance accessibility in the realm of mobile robotics. The pivotal challenge addressed is the efficient optimization of robot paths, aiming to improve accessibility for diverse environments. Traditional path optimization methods often struggle with real-time adaptability and dynamic environmental changes. In response, our proposed genetic algorithm harnesses evolutionary principles to dynamically optimize paths, thereby contributing to the increased accessibility of mobile robots. Through simulations and experiments, we demonstrate the efficacy of the GA-driven optimization in accommodating diverse scenarios. The algorithm showcases its ability to adapt to changing conditions, ensuring not only optimal paths but also improved accessibility for users. The research sheds light on the potential applications of genetic algorithms in mobile robotics, paving the way for advancements in autonomous navigation with a focus on inclusivity and enhanced accessibility.
Over the years, significant developments and applications of light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) have occurred in robotic mapping, in part due to the high precision a...
详细信息
ISBN:
(纸本)9798350364200;9798350364194
Over the years, significant developments and applications of light detection and ranging (LiDAR)-based simultaneous localization and mapping (SLAM) have occurred in robotic mapping, in part due to the high precision and decreasing costs of LiDAR. This study overviews the most advanced spinning-actuated LiDAR-based SLAM systems and discusses the challenges of meeting modern robotic mapping needs. In general, we intend to provide a substantial resource for researchers and engineers involved in robotic mapping.
This paper introduces an algorithm for autonomous self-modeling of robots through the integration of Large Vision Model (LVM) and Large Language Model (LLM). Our approach differs from traditional robotic approaches in...
详细信息
ISBN:
(纸本)9798350364200;9798350364194
This paper introduces an algorithm for autonomous self-modeling of robots through the integration of Large Vision Model (LVM) and Large Language Model (LLM). Our approach differs from traditional robotic approaches in that it enables robots to independently discover and refine their own body structure and control strategies using only partial information. Through a symbiotic process that includes LLM's ability to generate predictive control code based on finite prompts, and LVM's visual reasoning to validate and improve those predictions, our algorithm facilitates a self-learning loop. This cycle is characterized by an inner loop of assumptions, observations, and adjustments, supplemented by an outer loop that gradually increases the information provided until convergence is reached. The effectiveness of the process was quantified by measuring the difference between the expected and actual joint motion as a cost function to determine the minimum feasible prompt (MVP). Simulation results indicate that the algorithm is capable of self-modeling of with minimal initial information.
The recent progress in materials and structures has kick-started the development of soft eversion robot with the ability to grow in size. However, despite its promising capability to navigate challenging terrains, thi...
详细信息
ISBN:
(纸本)9798350322514
The recent progress in materials and structures has kick-started the development of soft eversion robot with the ability to grow in size. However, despite its promising capability to navigate challenging terrains, this type of robot still lacks a navigation strategy due to the robot's complexity courtesy of its increasing degrees of freedom as it grows. In this paper, we develop a growing robot navigation strategy based on deep reinforcement learning. The reinforcement learning was specifically designed to work with growing robot even as its degrees of freedom increase. The algorithm was shown to work in navigating growing robot in a planar environment towards a random target. The results show that the reinforcement learning is a promising candidate to be used for growing robot navigation.
AQTR is an international, biennial conference on automation, quality, testing and robotics. It is traditionally held in Cluj-Napoca, Romania, in the heart of Transylvania, since 1981 (formerly called THETA). The high ...
详细信息
ISBN:
(纸本)9781728148236
AQTR is an international, biennial conference on automation, quality, testing and robotics. It is traditionally held in Cluj-Napoca, Romania, in the heart of Transylvania, since 1981 (formerly called THETA). The high quality of papers, presentations, plenary speeches, networking at the social events, the overwhelming interest in the IoT Student Challenge and the positive feedback from conference attendees bring in more and more participants, European and from abroad, making it a continued success. The 2020 edition of AQTR will be held on May 21-23.
The proceedings contain 36 papers. The topics discussed include: collaborative learning in bilateral academic training on robotics design and development;mechanical characterization analysis of Kirigami structure for ...
ISBN:
(纸本)9798331518301
The proceedings contain 36 papers. The topics discussed include: collaborative learning in bilateral academic training on robotics design and development;mechanical characterization analysis of Kirigami structure for soft robotic design;3D-printed modified pinch valve for controlling pneumatic artificial muscles;research on an automatic execution device for paired axle hole assembly task;topology-guided online trajectory planning for UAV navigation in dynamic environments;a cost-efficient scheme for learning robotics via modeling, simulation & control implementation;cooperative control strategy of dual manipulators based on model reference adaptive admittance control;and augmented differential dynamic programming for humanoid robot flipping motion optimization.
The automation processes in the construction area have been covering the planning and control of obtaining fibers to improve the properties of concrete in an environmentally sustainable way. This work develops the aut...
详细信息
ISBN:
(纸本)9798350322514
The automation processes in the construction area have been covering the planning and control of obtaining fibers to improve the properties of concrete in an environmentally sustainable way. This work develops the automation for obtaining banana fiber, which will be detailed and controlled by an HMI, to then improve the physical and mechanical properties of concrete in the compressive strength, modulus of rupture, diametral tensile strength. Tia Portal, Factory IO and LabVIEW software were used for the process of obtaining banana fiber and by means of the Peruvian standard MTC/14, the physical and mechanical properties of the concrete were evaluated. It was obtained that placing 3% of the fiber in a concrete designed for a compressive strength fc= 210kg/cm(2), improved the compressive strength to f'c=315.5 kg/cm(2), modulus of rupture of 49.6kg/cm(2), diametral tensile strength of 31.4kg/cm(2), which were evaluated at 28 days.
Cloud robotics is transforming industrial automation by combining cloud computing with robotic systems. This paper reviews recent advancements in cloud robotics and their industrial applications, highlighting the syne...
详细信息
The proceedings contain 815 papers. The topics discussed include: 3D lidar-IMU calibration based on upsampled preintegrated measurements for motion distortion correction;Q-CP: learning action values for cooperative pl...
ISBN:
(纸本)9781538630815
The proceedings contain 815 papers. The topics discussed include: 3D lidar-IMU calibration based on upsampled preintegrated measurements for motion distortion correction;Q-CP: learning action values for cooperative planning;displacement amplifier mechanism for piezoelectric actuators design using SIMP topology optimization approach;sparse-to-dense: depth prediction from sparse depth samples and a single image;collision-free motion planning for human-robot collaborative safety under Cartesian constraint;rapidly-exploring random vines (RRV) for motion planning in configuration spaces with narrow passages;the exchange of knowledge using cloud robotics;and generalizing informed sampling for asymptotically-optimal sampling-based kinodynamic planning via Markov chain Monte Carlo.
The advent of the Internet of Things (IoT) and the Web of Things (WoT) has greatly influenced the development of smart home systems, providing enhanced convenience, security, and automation. This paper introduces a no...
详细信息
暂无评论