Search Results - "Big data in robotics and automation"

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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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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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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Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data by Liu, Boyi, Wang, Lujia, Liu, Ming, Xu, Cheng-Zhong

“…Humans are capable of learning a new behavior by observing others to perform the skill. Similarly, robots can also implement this by imitation learning…”
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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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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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Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications by Wang, Wenshuo, Zhao, Ding

“…Developing an automated vehicle, that can handle complicated driving scenarios and appropriately interact with other road users, requires the ability to…”
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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. To…”
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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. Given the intrinsic complex spatial and…”
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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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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

“…Root-cause Analysis (RCA) of alarms is a well-established research area in automated Production Systems (aPS). Many RCA algorithms have been proposed and…”
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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. Many of…”
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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

“…High-dimensional and sparse (HiDS) matrices from recommender systems contain various useful patterns. A latent factor (LF) analysis is highly efficient in…”
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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

“…To enable robots to work on real home environments, they have to not only consider common knowledge in the global society, but also be aware of existing rules…”
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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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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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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. The majority of learning-based point…”
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The Improvement of Dropout Strategy Based on Two Evolutionary Algorithms by Chen, Tianhao, Jia, Wenchuan, Sun, Yi

“…Dropout strategy is a simple and common regularization method in the construction of deep network that it can control the status of units in the Dropout layers…”
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