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检索条件"任意字段=Conference on Next-Generation Robots and Systems"

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SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchma...

引用

IEEE/RSJ International conference on Intelligent robots and systems (IROS)

作者： Yiming Li Sihang Li Xinhao Liu Moonjun Gong Kenan Li Nuo Chen Zijun Wang Zhiheng Li Tao Jiang Fisher Yu Yue Wang Hang Zhao Zhiding Yu Chen Feng New York University Tsinghua University ETH Zurich NVIDIA

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

Monocular scene understanding is a foundational component of autonomous systems. Within the spectrum of monocular perception topics, one crucial and useful task for holistic 3D scene understanding is semantic scene completion (SSC), which jointly completes semantic information and geometric details from RGB input. However, progress in SSC, particularly in large-scale street views, is hindered by the scarcity of high-quality datasets. To address this issue, we introduce SSCBench, a comprehensive benchmark that integrates scenes from widely used automotive datasets (e.g., KITTI-360, nuScenes, and Waymo). SSCBench follows an established setup and format in the community, facilitating the easy exploration of SSC methods in various street views. We benchmark models using monocular, trinocular, and point cloud input to assess the performance gap resulting from sensor coverage and modality. Moreover, we have unified semantic labels across diverse datasets to simplify cross-domain generalization testing. We commit to including more datasets and SSC models to drive further advancements in this field. Our data and code are available at https://***/ai4ce/SSCBench.

关键词： Point cloud compression Three-dimensional displays Codes Semantics Benchmark testing Robot sensing systems next generation networking Intelligent robots Autonomous vehicles Automotive engineering

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Poster: Address Resolution Protocol Based Attacks for Multi-Robot systems

Poster: Address Resolution Protocol Based Attacks for Multi-...

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Mobility, Operations, Services and Technologies (MOST), IEEE International conference on

作者： Blake E Todorowski Michael Lane Fox Harris E Laing Kirthan Gaddam Anosh Mian Rohit Eagala Jair Ferrari Md Tanvir Arafin Cyber Security Engineering Department George Mason University Fairfax VA USA

ISBN: (数字)9798350307733

ISBN: (纸本)9798350307740

Robot Operating System (ROS) is a popular open-source middleware that provides a standard robotic application development framework using commercial-off-the-shelf hardware. As the use of ROS becomes widespread, security vulnerabilities in ROS pose critical concerns for the next generation of robotics. For example, when ROS is used for deploying a multi-robot system (MRS), an attacker can target the weaknesses of ROS to compromise the complete multi-robot infrastructure. This work presents a proof-of-concept hardware demonstration of such an attack to examine how networking vulnerabilities can be exploited to compromise a ROS-based MRS. The experiment setup and demonstration code for this work are available at https://***/SPIRE-GMU/MRS_***

关键词： Protocols Operating systems Hardware Multi-robot systems Security Middleware robots

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Multi-modal Sensor Fusion for Learning Rich Models for Interacting Soft robots

Multi-modal Sensor Fusion for Learning Rich Models for Inter...

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IEEE International conference on Soft Robotics (RoboSoft)

作者： Thomas George Thuruthel Fumiya Iida Department of Engineering The Bio-Inspired Robotics Lab University of Cambridge UK Department of Computer Science University College London London UK

Soft robots are typically approximated as low-dimensional systems, especially when learning-based methods are used. This leads to models that are limited in their capability to predict the large number of deformation modes and interactions that a soft robot can have. In this work, we present a deep-learning methodology to learn high-dimensional visual models of a soft robot combining multimodal sensorimotor information. The models are learned in an end-to-end fashion, thereby requiring no intermediate sensor processing or grounding of data. The capabilities and advantages of such a modelling approach are shown on a soft anthropomorphic finger with embedded soft sensors. We also show that how such an approach can be extended to develop higher level cognitive functions like identification of the self and the external environment and acquiring object manipulation skills. This work is a step towards the integration of soft robotics and developmental robotics architectures to create the next generation of intelligent soft robots.

关键词： Visualization Shape control Soft sensors Tactile sensors Soft robotics Predictive models Robot sensing systems

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Research on the Application of Financial Robot under the Background of next generation Information Technology - Taking Sinochem International as an example 6

Research on the Application of Financial Robot under the Bac...

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2021 6th International conference on Electronic Technology and Information Science, ICETIS 2021

作者： Li, Xun Accounting College of Yunnan University of Business and Technology Yunnan Province Kunming650000 China

With the development of the times and the progress of science and technology, the computerized accounting system can no longer meet the problem between the increasing human cost of most companies and the backward high-end talent pool. The transformation of the financial work system is imminent. The emergence of financial robots is undoubtedly an opportunity for the transformation of corporate financial work systems. It has attracted the attention of enterprises due to its unique process automation advantages. To mitigate above issue, this paper analyzes the development, application, and impact of financial robots in enterprises based on a brief introduction to the meaning and development of financial robots, and proposes relevant suggestions for introducing financial robots. © Published under licence by IOP Publishing Ltd.

关键词： robots

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Intelligent Humanoid robots in Manufacturing 24

Intelligent Humanoid Robots in Manufacturing

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Companion of the 2024 ACM/IEEE International conference on Human-Robot Interaction

作者： Ali Ahmad Malik Tariq Masood Alexander Brem Department of Industrial and Systems Engineering Oakland University Rochester MI USA Design Manufacturing and Engineering Management University of Strathclyde Glasgow Scotland Uk Institute of Entrepreneurship and Innovation Science University of Stuttgart Stuttgart Germany

ISBN: (纸本)9798400703232

Technological evolution in the field of robotics is emerging with major breakthroughs in recent years. This was especially fostered by revolutionary new software applications leading to humanoid robots. Humanoids are being envisioned for manufacturing applications to form human-robot teams. But their implication in the manufacturing practices especially for industrial safety standards and lean manufacturing practices have been minimally addressed. Humanoids will also be competing with conventional robotic arms and effective methods to assess their return on investment are needed. To study the next generation of industrial automation, we used the case context of Tesla's humanoid robot. The company has recently unveiled its project on an intelligent humanoid robot named 'Optimus' to achieve an increased level of manufacturing automation. This article proposes a framework to integrate humanoids for manufacturing automation and also presents the significance of safety standards of human-robot collaboration. A case of lean assembly cell for the manufacturing of an open-source medical ventilator was used for human-humanoid automation. Simulation results indicate that humanoids can increase the level of manufacturing automation. Managerial and research implications are presented.

关键词： assembly automation humanoid lean robots

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A Swarm Control Model Based on Individual Information Interaction 8

A Swarm Control Model Based on Individual Information Intera...

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8th International conference on Big Data and Information Analytics, BigDIA 2022

作者： Li, Wenji Zhang, Qinchang Wang, Zhaojun Ren, Pengxiang Xu, Ning Wang, Dongliang Fan, Zhun Shantou University Department of Electronic Engineering Guangdong China

ISBN: (数字)9781665487962

ISBN: (纸本)9781665487962

A new swarm control model is proposed in this study to address the problem that swarm-robot systems have difficulty in effectively avoiding obstacles and maintaining formation in unknown and complex environments. The proposed swarm control model combines the virtual leader method and the artificial potential field method to solve the problem of easy collision and separation during the movement of a swarm-robot system. In addition, in the proposed control model, the individuals in the swarm-robot system can emerge swarm movement only by some simple behavior rules, thus improving the intelligence of the swarm-robot system. At last, the study sets two repre-sentative environments (a no-obstacles environment and a static and dynamic mixed obstacle environment), which illustrates the performance of the proposed model. © 2022 IEEE.

关键词： Intelligent robots

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POSTER: IoT and Humanoid Robotics for next generation Motor Rehabilitation systems

POSTER: IoT and Humanoid Robotics for Next Generation Motor ...

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International conference on Distributed Computing in Sensor systems (DCOSS)

作者： Stefano Borgo Marco Di Felice Alfonso Esposito Valeria Seidita Giulia Spaletta Roberto Toni Ivan Zyrianoff Laboratory for Applied Ontology (LOA) ISTC-CNR Trento Italy Department of Computer Science and Engineering University of Bologna Italy Department of Engineering University of Palermo Italy CNR - ISSMC Faenza Italy Endocrinology TMC Tufts University School of Medicine Boston MA USA

ISBN: (数字)9798350369441

ISBN: (纸本)9798350369458

The recent Covid-19 pandemic has highlighted the pressure on healthcare infrastructure, emphasizing the necessity for more tailored and sustainable healthcare systems that exploit the potential of emerging technologies such as robotics and the Internet of Things (IoT). In this paper, we delve into this potential by presenting I-TROPHYTS, an innovative framework designed for the real-time and semi-autonomous supervision of motor rehabilitation activities in indoor settings. I-TROPHYTS introduces a visionary approach that leverages humanoid robotics to mimic the actions of physiotherapists. This robotic system dynamically adjusts motor rehabilitation routines based on real-time performance and vital signs of groups of patients, which are monitored through wearable IoT devices. The paper introduces the I-TROPHYTS framework architecture along with its essential components. Furthermore, it elaborates on the implementation of the IoT monitoring infrastructure through the Bluetooh Mesh technology.

关键词： Performance evaluation Pandemics Humanoid robots Medical services Motors Real-time systems Internet of Things

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Survey paper on the Forward Kinematics Solution of a Stewart Platform

Survey paper on the Forward Kinematics Solution of a Stewart...

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International conference on next generation Intelligent systems (ICNGIS)

作者： Safeena M K Jiji K S Ramesh Kumar P Department of Electrical Engineering G.E.C Thrissur APJ Abdul Kalam Technological University Kerala India Department of Electrical Engineering G.E.C Palakkad APJ Abdul Kalam Technological University Kerala India

Over the past few decades, researchers have become increasingly interested in the Stewart Platform, a parallel manipulator with six degrees of freedom (DOF) that offers remarkable functionality over serial manipulators. The main objection to the implementation of closed loop control in Stewart Platform is its difficulty in solving the forward kinematics. In the forward kinematics problem, the pose and orientation of the moving platform are determined from the leg lengths. This is a high degree nonlinear problem with multiple solutions. Even though many studies were conducted about the kinematics of parallel robots, forward kinematics continues to be a hindrance to its practical application. Consequently, the real-time solution of forward kinematics is gaining interest. To address the direct kinematics problem, several approaches were presented, including numerical techniques, analytical methods, sensor-based methods, methods using neural networks, and observer-based methods. In this paper, the different approaches and limitations of the forward kinematics problem on Stewart Platform are analyzed.

关键词： Support vector machines Legged locomotion Parallel robots Neural networks Kinematics Robot sensing systems Manipulators

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ICDCN 2021 - Proceedings of the 2021 International conference on Distributed Computing and Networking

ICDCN 2021 - Proceedings of the 2021 International Conferenc...

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22nd International conference on Distributed Computing and Networking, ICDCN 2021

ISBN: (纸本)9781450389334

The proceedings contain 32 papers. The topics discussed include: asymmetric distributed trust;building next-generation healthcare systems using distributed machine learning;autonomous distributed systems of myopic mobile robots with lights;secure conflict-free replicated data types;P4Fuzz: compiler fuzzer for dependable programmable dataplanes;gathering with a strong team in weakly byzantine environments;communication costs in a geometric communication network;certification of an exact worst-case self-stabilization time;arbitrary pattern formation on infinite regular tessellation graphs;optimal exclusive perpetual grid exploration by luminous myopic opaque robots with common chirality;and performance analysis of a distributed algorithm for admission control in wireless networks under the 2-Hop interference model.

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How to Deploy a 10-km Interferometric Radio Telescope on the Moon with Just Four Tethered robots

How to Deploy a 10-km Interferometric Radio Telescope on the...

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2022 IEEE Aerospace conference, AERO 2022

作者： McGarey, Patrick Nesnas, Issa A. Rajguru, Adarsh Bezkrovny, Matthew Jamnejad, Vahraz Lux, Jim Sunada, Eric Teitelbaum, Lawrence Miller, Alexander Squyres, Steve W. Hallinan, Gregg Hegedus, Alex Burns, Jack O. Jet Propulsion Laboratory California Institute of Technology United States Blue Origin Enterprises United States California Institute of Technology United States University of Michigan United States University of Colorado Boulder United States

ISBN: (数字)9781665437608

ISBN: (纸本)9781665437608

The Far-side Array for Radio Science Investigations of the Dark ages and Exoplanets (FARSIDE) is a proposed mission concept to the lunar far side that seeks to deploy and operate an array of 128 dual-polarization, dipole antennas over a region of 100 square kilometers. The resulting interferometric radio telescope would provide unprecedented radio images of distant star systems, allowing for the investigation of faint ra-dio signatures of coronal mass ejections and energetic particle events and could also lead to the detection of magnetospheres around exoplanets within their parent star's habitable zone. Simultaneously, FARSIDE would also measure the 'Dark Ages' of the early Universe at a global 21-cm signal across a range of red shifts (z 50-100). Each discrete antenna node in the array is connected to a central hub (located at the lander) via a communication and power tether. Nodes are driven by cold-operable electronics that continuously monitor (for 5 or more years) an extremely wide-band of frequencies (200 kHz to 40 MHz), which surpass the capabilities of Earth-based telescopes by two orders of magnitude. Achieving this ground-breaking capability requires a robust deployment strategy on the lunar surface, which is feasible with existing, high-TRL technologies (demonstrated or under active development) and is capable of delivery to the surface on next-generation commercial landers, such as Blue Origin's Blue Moon Lander. This paper presents an antenna packaging, placement, and surface deployment trade study that leverages recent advances in tethered mobile robots under development at NASA's Jet Propulsion Laboratory, which are used to deploy a flat, antenna-embedded, tape tether with optical communication and power transmission capabilities. We investigate the feasibility of deploying 4 separate 12-km tethers, each with 64 remotely powered electronics nodes, using just four rovers that trace out a large spiral pattern that is over 10-km in diameter, where each

关键词： Extrasolar planets

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