Suchergebnisse - "Computing methodologies Artificial intelligence Control methods"

Centralized Training and Decentralized Control through the Actor-Critic Paradigm for Highly Optimized Multicores von Dietrich, Benedikt, Khdr, Heba, Henkel, Jorg

“… While distributed, neural-network-based resource controllers represent the state of the art for their ability to cope with the ever-expanding decision space, …”
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VMP: Versatile Motion Priors for Robustly Tracking Motion on Physical Characters von Serifi, Agon, Grandia, Ruben, Knoop, Espen, Gross, Markus, Bächer, Moritz

“… Recent progress in physics‐based character control has made it possible to learn policies from unstructured motion data. However, it remains challenging to …”
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PartwiseMPC: Interactive Control of Contact‐Guided Motions von Khoshsiyar, N., Gou, R., Zhou, T., Andrews, S., van de Panne, M.

“… Physics‐based character motions remain difficult to create and control. We make two contributions towards simpler specification and faster generation of …”
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EPOC: An Efficient Pulse Generation Framework with Advanced Synthesis for Quantum Circuits von Cheng, Jinglei, Zhu, Yuchen, Zhou, Yidong, Ren, Hang, Song, Zhixin, Liang, Zhiding

“… In this work, we aim to address the computational overhead challenge in quantum optimal control while reducing circuit latency. We propose a novel approach …”
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Learning-Aided Safe Controller Synthesis with Formal Guarantees via Vector Barrier Certificates von Zeng, Xia, Ren, Mengxin, Liu, Zhiming, Yang, Zhengfeng

“… The design of controllers for safety-critical systems is an important research issue. Especially, the generation of controllers with formal safety guarantees …”
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MROS: A framework for robot self-adaptation von Silva, Gustavo Rezende, Garcia, Nadia Hammoudeh, Bozhinoski, Darko, Deshpande, Harshavardhan, Oviedo, Mario Garzon, Wasowski, Andrzej, Montero, Mariano Ramirez, Corbato, Carlos Hernandez

“… Self-adaptation can be used in robotics to increase system robust- ness and reliability. This work describes the Metacontrol method for self-adaptation in …”
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A practical guide for using statistical tests to assess randomized algorithms in software engineering von Arcuri, Andrea, Briand, Lionel

“… Randomized algorithms have been used to successfully address many different types of software engineering problems. This type of algorithms employ a degree of …”
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Collision Prediction for Robotics Accelerators von Shah, Deval, Aamodt, Tor M.

“… Motion planning in dynamic environments is an important task for autonomous robotics. Emerging approaches employ neural networks that can learn by observing …”
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Evolutionary Computation and Reinforcement Learning for Cyber-physical System Design von Lu, Chengjie

“… Cyber-physical systems (CPSs) are designed to in-tegrate computation and physical processes through constantly interacting with the physical environment. The …”
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GAssert: A Fully Automated Tool to Improve Assertion Oracles von Terragni, Valerio, Jahangirova, Gunel, Tonella, Paolo, Pezze, Mauro

“… This demo presents the implementation and usage details of GASSERT, the first tool to automatically improve assertion oracles. Assertion oracles are executable …”
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GARL: Genetic Algorithm-Augmented Reinforcement Learning to Detect Violations in Marker-Based Autonomous Landing Systems von Liang, Linfeng, Deng, Yao, Morton, Kye, Kallinen, Valtteri, James, Alice, Seth, Avishkar, Kuantama, Endrowednes, Mukhopadhyay, Subhas, Han, Richard, Zheng, Xi

“… Automated Uncrewed Aerial Vehicle (UAV) landing is crucial for autonomous UAV services such as monitoring, surveying, and package delivery. It involves …”
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On the automation of fixing software bugs von Arcuri, Andrea

“… Software Testing can take up to half of the resources of the development of new software. Although there has been a lot of work on automating the testing …”
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Post-Silicon CPU Adaptation Made Practical Using Machine Learning von Tarsa, Stephen J., Roy Chowdhury, Rangeen Basu, Sebot, Julien, Chinya, Gautham, Gaur, Jayesh, Sankaranarayanan, Karthik, Lin, Chit-Kwan, Chappell, Robert, Singhal, Ronak, Wang, Hong

“… Processors that adapt architecture to workloads at runtime promise compelling performance per watt (PPW) gains, offering one way to mitigate diminishing …”
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Managing uncertainty in self-adaptive systems with plan reuse and stochastic search von Kinneer, Cody, Coker, Zack, Wang, Jiacheng, Garlan, David, Le Goues, Claire

“… Many software systems operate in environments where change and uncertainty are the rule, rather than exceptions. Techniques for self-adaptation allow these …”
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Tighter Dimensioning of Heterogeneous Multi-Resource Autonomous CPS with Control Performance Guarantees von Roy, Debayan, Chang, Wanli, Mitter, Sanjoy K., Chakraborty, Samarjit

“… In modern autonomous systems, there is typically a large number of connected components realizing complex functionalities. For example, in autonomous vehicles …”
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An Autonomous Dynamic Camera Method for Effective Remote Teleoperation von Rakita, Daniel, Mutlu, Bilge, Gleicher, Michael

“… In this paper, we present a method that improves the ability of remote users to teleoperate amanipulation robot arm by continuously providing them with an …”
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Formal methods for semi-autonomous driving von Seshia, Sanjit A., Sadigh, Dorsa, Sastry, S. Shankar

“… We give an overview of the main challenges in the specification, design, and verification of human cyber-physical systems, with a special focus on …”
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Effects of Robot Motion on Human-Robot Collaboration von Dragan, Anca D., Bauman, Shira, Forlizzi, Jodi, Srinivasa, Siddhartha S.

“… Most motion in robotics is purelyfifnctional, planned to achieve the goal and avoid collisions. Such motion is great in isolation, but collaboration affords a …”
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Sacrifice One For the Good of Many? People Apply Different Moral Norms to Human and Robot Agents von Malle, Bertram F., Scheutz, Matthias, Arnold, Thomas, Voiklis, John, Cusimano, Corey

“… Moral norms play an essential role in regulating human interaction. With the growing sophistication and proliferation of robots, it is important to understand …”
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Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks von Nikolaidis, Stefanos, Ramakrishnan, Ramya, Keren Gu, Shah, Julie

“… We present a framework for automatically learning human user models from joint-action demonstrations that enables a robot to compute a robust policy for a …”
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