Výsledky vyhľadávania - "robotics and automation"

Safe Control With Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction Methods for Robotics and Control Autor Dawson, Charles, Gao, Sicun, Fan, Chuchu

“…Learning-enabled control systems have demonstrated impressive empirical performance on challenging control problems in robotics, but this performance comes at…”
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Cat-Like Jumping and Landing of Legged Robots in Low Gravity Using Deep Reinforcement Learning Autor Rudin, Nikita, Kolvenbach, Hendrik, Tsounis, Vassilios, Hutter, Marco

“…In this article, we show that learned policies can be applied to solve legged locomotion control tasks with extensive flight phases, such as those encountered…”
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Deep Learning Approaches to Grasp Synthesis: A Review Autor Newbury, Rhys, Gu, Morris, Chumbley, Lachlan, Mousavian, Arsalan, Eppner, Clemens, Leitner, Jurgen, Bohg, Jeannette, Morales, Antonio, Asfour, Tamim, Kragic, Danica, Fox, Dieter, Cosgun, Akansel

“…Grasping is the process of picking up an object by applying forces and torques at a set of contacts. Recent advances in deep learning methods have allowed…”
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Physically Feasible Repair of Reactive, Linear Temporal Logic-Based, High-Level Tasks Autor Pacheck, Adam, Kress-Gazit, Hadas

“…A typical approach to creating complex robot behaviors is to compose atomic controllers, or skills, such that the resulting behavior satisfies a high-level…”
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TidyBot: personalized robot assistance with large language models Autor Wu, Jimmy, Antonova, Rika, Kan, Adam, Lepert, Marion, Zeng, Andy, Song, Shuran, Bohg, Jeannette, Rusinkiewicz, Szymon, Funkhouser, Thomas

“…For a robot to personalize physical assistance effectively, it must learn user preferences that can be generally reapplied to future scenarios. In this work,…”
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Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems With Heterogeneous Sensor Data Autor 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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Text2Motion: from natural language instructions to feasible plans Autor Lin, Kevin, Agia, Christopher, Migimatsu, Toki, Pavone, Marco, Bohg, Jeannette

“…We propose Text2Motion, a language-based planning framework enabling robots to solve sequential manipulation tasks that require long-horizon reasoning. Given a…”
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Task-Driven Detection of Distribution Shifts With Statistical Guarantees for Robot Learning Autor Farid, Alec, Veer, Sushant, Pachisia, Divyanshu, Majumdar, Anirudha

“…Our goal is to perform out-of-distribution (OOD) detection , i.e., to detect when a robot is operating in environments drawn from a different distribution than…”
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Optimization-based locomotion planning, estimation, and control design for the atlas humanoid robot Autor Kuindersma, Scott, Deits, Robin, Fallon, Maurice, Valenzuela, Andrés, Dai, Hongkai, Permenter, Frank, Koolen, Twan, Marion, Pat, Tedrake, Russ

“…This paper describes a collection of optimization algorithms for achieving dynamic planning, control, and state estimation for a bipedal robot designed to…”
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Motion planning and control for mobile robot navigation using machine learning: a survey Autor Xiao, Xuesu, Liu, Bo, Warnell, Garrett, Stone, Peter

“…Moving in complex environments is an essential capability of intelligent mobile robots. Decades of research and engineering have been dedicated to developing…”
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DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles Autor Xie, Zhanteng, Dames, Philip

“…This article proposes a novel learning-based control policy with strong generalizability to new environments that enables a mobile robot to navigate…”
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Unmanned aerial vehicles (UAVs): practical aspects, applications, open challenges, security issues, and future trends Autor Mohsan, Syed Agha Hassnain, Othman, Nawaf Qasem Hamood, Li, Yanlong, Alsharif, Mohammed H., Khan, Muhammad Asghar

“…Recently, unmanned aerial vehicles (UAVs) or drones have emerged as a ubiquitous and integral part of our society. They appear in great diversity in a…”
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Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda Autor Kumar, Yogesh, Koul, Apeksha, Singla, Ruchi, Ijaz, Muhammad Fazal

“…Artificial intelligence can assist providers in a variety of patient care and intelligent health systems. Artificial intelligence techniques ranging from…”
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Motion Planning Networks: Bridging the Gap Between Learning-Based and Classical Motion Planners Autor Qureshi, Ahmed Hussain, Miao, Yinglong, Simeonov, Anthony, Yip, Michael C.

“…This article describes motion planning networks (MPNet), a computationally efficient, learning-based neural planner for solving motion planning problems.MPNet…”
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What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction Autor Scholler, Christoph, Aravantinos, Vincent, Lay, Florian, Knoll, Alois

“…Pedestrian motion prediction is a fundamental task for autonomous robots and vehicles to operate safely. In recent years many complex approaches based on…”
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Making Sense of Vision and Touch: Learning Multimodal Representations for Contact-Rich Tasks Autor Lee, Michelle A., Zhu, Yuke, Zachares, Peter, Tan, Matthew, Srinivasan, Krishnan, Savarese, Silvio, Fei-Fei, Li, Garg, Animesh, Bohg, Jeannette

“…Contact-rich manipulation tasks in unstructured environments often require both haptic and visual feedback. It is nontrivial to manually design a robot…”
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Long-Horizon Multi-Robot Rearrangement Planning for Construction Assembly Autor Hartmann, Valentin N., Orthey, Andreas, Driess, Danny, Oguz, Ozgur S., Toussaint, Marc

“…Robotic construction assembly planning aims to find feasible assembly sequences as well as the corresponding robot-paths and can be seen as a special case of…”
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The Foreseeable Future: Self-Supervised Learning to Predict Dynamic Scenes for Indoor Navigation Autor Thomas, Hugues, Zhang, Jian, Barfoot, Timothy D.

“…We present a method for generating, predicting, and using spatiotemporal occupancy grid maps (SOGM), which embed future semantic information of real dynamic…”
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Flow: A Modular Learning Framework for Mixed Autonomy Traffic Autor Wu, Cathy, Kreidieh, Abdul Rahman, Parvate, Kanaad, Vinitsky, Eugene, Bayen, Alexandre M.

“…The rapid development of autonomous vehicles (AVs) holds vast potential for transportation systems through improved safety, efficiency, and access to mobility…”
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A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-Based Variational Autoencoder Autor Daehyung Park, Hoshi, Yuuna, Kemp, Charles C.

“…The detection of anomalous executions is valuable for reducing potential hazards in assistive manipulation. Multimodal sensory signals can be helpful for…”
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