Search Results - Big data in robotics and automation

DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics by Kapelyukh, Ivan, Vosylius, Vitalis, Johns, Edward

“…We introduce the first work to explore web-scale diffusion models for robotics. DALL-E-Bot enables a robot to rearrange objects in a scene, by first inferring…”
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BADGR: An Autonomous Self-Supervised Learning-Based Navigation System by Kahn, Gregory, Abbeel, Pieter, Levine, Sergey

“…Mobile robot navigation is typically regarded as a geometric problem, in which the robot's objective is to perceive the geometry of the environment in order to…”
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Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data by Liu, Boyi, Wang, Lujia, Liu, Ming, Xu, Cheng-Zhong

“… It provides a heterogeneous knowledge fusion mechanism for cloud robotic systems. Then, a knowledge fusion algorithm in FIL is proposed…”
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Language Models as Zero-Shot Trajectory Generators by Kwon, Teyun, Palo, Norman Di, Johns, Edward

“…Large Language Models (LLMs) have recently shown promise as high-level planners for robots when given access to a selection of low-level skills. However, it is…”
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Toward Predicting Collective Performance in Multirobot Teams by Xin, Pujie, Xie, Zhanteng, Dames, Philip

“…The increased deployment of multirobot systems (MRS) in various fields has led to the need to analyze system-level performance. However, creating consistent…”
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LaND: Learning to Navigate From Disengagements by Kahn, Gregory, Abbeel, Pieter, Levine, Sergey

“…Consistently testing autonomous mobile robots in real world scenarios is a necessary aspect of developing autonomous navigation systems. Each time the human…”
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LVDiffusor: Distilling Functional Rearrangement Priors From Large Models Into Diffusor by Zeng, Yiming, Wu, Mingdong, Yang, Long, Zhang, Jiyao, Ding, Hao, Cheng, Hui, Dong, Hao

“…Object rearrangement, a fundamental challenge in robotics, demands versatile strategies to handle diverse objects, configurations, and functional needs…”
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Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications by Wang, Wenshuo, Zhao, Ding

“… environment, oftentimes, based on analyzing massive amounts of naturalistic driving data. An important paradigm that allows automated vehicles to both learn from human…”
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A Distributed Framework for Knowledge-Driven Root-Cause Analysis on Evolving Alarm Data-An Industrial Case Study by Wilch, Jan, Vogel-Heuser, Birgit, Mager, Jens, Cendelin, Rostislav, Fett, Thomas, Hsieh, Yu-Ming, Cheng, Fan-Tien

“… In industrial applications, alarm data are usually preprocessed to accommodate for use case-specific properties and prepare subsequent analysis steps…”
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Vision Perception-based Adaptive Pushing Assisted Grasping Network for Dense Clutters by Liu, Xinqi, Chai, Runqi, Wang, Shuo, Chai, Senchun, Xia, Yuanqing

“…During the execution of a robotic grasping task, the task may fail due to the close proximity of multiple objects if grasping is the only motion primitive…”
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OVITA: Open-Vocabulary Interpretable Trajectory Adaptations by Maurya, Anurag, Ghosh, Tashmoy, Nguyen, Anh, Prakash, Ravi

“…Adapting trajectories to dynamic situations and user preferences is crucial for robot operation in unstructured environments with non-expert users. Natural…”
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Long-Short Term Spatiotemporal Tensor Prediction for Passenger Flow Profile by Li, Ziyue, Yan, Hao, Zhang, Chen, Tsung, Fugee

“…Spatiotemporal data are very common in many applications, such as manufacturing systems and transportation systems…”
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SLAG: Scalable Language-Augmented Gaussian Splatting by Szilagyi, Laszlo, Engelmann, Francis, Bohg, Jeannette

“…Language-augmented scene representations hold great promise for large-scale robotics applications such as search-and-rescue, smart cities, and mining…”
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Graphical modeling notation for data collection and analysis architectures in cyber-physical systems of systems by Trunzer, Emanuel, Wullenweber, Anne, Vogel-Heuser, Birgit

“…Industrie 4.0 and data analytics blur the separation of operational and information technology that prevailed for industrial automation over the last decades…”
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Effects of Extended Stochastic Gradient Descent Algorithms on Improving Latent Factor-Based Recommender Systems by Luo, Xin, Zhou, MengChu

“… Can its extensions be capable of further improving an LF models' convergence rate and prediction accuracy for missing data…”
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An Everyday Robotic System that Maintains Local Rules Using Semantic Map Based on Long-Term Episodic Memory by Furuta, Yuki, Okada, Kei, Kakiuchi, Yohei, Inaba, Masayuki

“…) autonomously builds probabilistic object localization map as structurization of logged data and c…”
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Ground Segmentation From Large-Scale Terrestrial Laser Scanner Data of Industrial Environments by Giorgini, M., Barbieri, F., Aleotti, J.

“…In many 3-D perception applications, ground segmentation is a necessary preprocessing phase together with point cloud cleaning and outlier removal. This letter…”
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Parking Spot Estimation and Mapping Method for Mobile Robots by Westfechtel, Thomas, Ohno, Kazunori, Mizuno, Naoki, Hamada, Ryunosuke, Kojima, Shotaro, Tadokoro, Satoshi

“…Self-driving vehicles rely on detailed semantic maps of the environment for operating. In this letter, we propose a method to autonomously generate such a…”
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Variable Rate Compression for Raw 3D Point Clouds by Al Muzaddid, Md Ahmed, Beksi, William J.

“…In this paper, we propose a novel variable rate deep compression architecture that operates on raw 3D point cloud data…”
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Automation of Big Data Analytics Using Robotic Process Automation by Malini, G.

“…Robotic Process Automation (RPA) is now becomes a buzzword and makes it mark on almost all fields in assisting automation of repetitive human intensive tasks in a simpler manner…”
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