Search Results - Computer systems organization Embedded and cyber-physical systems Robotics

Analyzing and Improving Fault Tolerance of Learning-Based Navigation Systems by Wan, Zishen, Anwar, Aqeel, Hsiao, Yu-Shun, Jia, Tianyu, Reddi, Vijay Janapa, Raychowdhury, Arijit

“…Learning-based navigation systems are widely used in autonomous applications, such as robotics, unmanned vehicles and drones…”
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Invited: Towards Fully Intelligent Transportation through Infrastructure-Vehicle Cooperative Autonomous Driving: Challenges and Opportunities by Liu, Shaoshan, Yu, Bo, Tang, Jie, Zhu, Qi

“…The infrastructure-vehicle cooperative autonomous driving approach relies on the cooperation between intelligent roads and intelligent vehicles. This approach…”
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Collision Prediction for Robotics Accelerators by Shah, Deval, Aamodt, Tor M.

“…Motion planning in dynamic environments is an important task for autonomous robotics…”
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Construction of DAG Models for Autonomous Systems by Huang, Jing, Jiang, Kuan, Wang, Weijie, Liang, Wei, Chang, Wanli

“…Directed Acyclic Graphs (DAGs) are widely deployed as task models in autonomous systems, including vehicles and drones, to capture functional dependency…”
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EffBT: An Efficient Behavior Tree Reactive Synthesis and Execution Framework by Wu, Ziji, Huang, Yu, Huang, Peishan, Wen, Shanghua, Li, Minglong, Wang, Ji

“…Behavior Trees (BTs), originated from the control of Non-Player-Characters (NPCs), have been widely embraced in robotics and software engineering communities due to their modularity, reactivity, and other beneficial characteristics…”
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MROS: A framework for robot self-adaptation by 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…”
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Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems by Cheng, Mingfei, Xie, Xiaofei, Zhou, Yuan, Wang, Junjie, Meng, Guozhu, Yang, Kairui

“…Autonomous Driving System (ADS) testing is crucial in ADS development, with the current primary focus being on safety…”
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FedLight: Federated Reinforcement Learning for Autonomous Multi-Intersection Traffic Signal Control by Ye, Yutong, Zhao, Wupan, Wei, Tongquan, Hu, Shiyan, Chen, Mingsong

“…Although Reinforcement Learning (RL) has been successfully applied in traffic control, it suffers from the problems of high average vehicle travel time and…”
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Factor Graph Accelerator for LiDAR-Inertial Odometry (Invited Paper) by Hao, Yuhui, Yu, Bo, Liu, Qiang, Liu, Shaoshan, Zhu, Yuhao

“…Factor graph is a graph representing the factorization of a probability distribution function, and has been utilized in many autonomous machine computing…”
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Designing Trustful Cooperation Ecosystems is Key to the New Space Exploration Era by Baima, Renan Lima, Loick, Chovet, Sedlmeir, Johannes, Mendez, Miguel Angel Olivares, Fridgen, Gilbert

“… Multirobot systems (MRS) research has provided many approaches to establish control and communication layers to facilitate collaboration from a technical perspective, such as granting more autonomy to heterogeneous robotic…”
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A Motion Retargeting Method for Effective Mimicry-based Teleoperation of Robot Arms by Rakita, Daniel, Mutlu, Bilge, Gleicher, Michael

“… Our key technical idea that by relaxing the constraint of the direct mapping between hand position and orientation and end effector configuration, a system can provide the user with the feel…”
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MAVBench: micro aerial vehicle benchmarking by Boroujerdian, Behzad, Genc, Hasan, Krishnan, Srivatsan, Cui, Wenzhi, Faust, Aleksandra, Reddi, Vijay Janapa

“…Unmanned Aerial Vehicles (UAVs) are getting closer to becoming ubiquitous in everyday life. Among them, Micro Aerial Vehicles (MAVs) have seen an outburst of…”
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CONVINCE: A cross-layer modeling, exploration and validation framework for next-generation connected vehicles by Bowen Zheng, Chung-Wei Lin, Huafeng Yu, Hengyi Liang, Qi Zhu

“…Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles…”
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Improving Robot Controller Transparency Through Autonomous Policy Explanation by Hayes, Bradley, Shah, Julie A.

“… We present a series of algorithms and an accompanying system that enables robots to autonomously…”
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An Autonomous Dynamic Camera Method for Effective Remote Teleoperation by 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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Communicating Robot Motion Intent with Augmented Reality by Walker, Michael, Hedayati, Hooman, Lee, Jennifer, Szafir, Daniel

“…Humans coordinate teamwork by conveying intent through social cues, such as gestures and gaze behaviors. However, these methods may not be possible for…”
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Safety-Driven Interactive Planning for Neural Network-Based Lane Changing by Liu, Xiangguo, Jiao, Ruochen, Zheng, Bowen, Liang, Dave, Zhu, Qi

“… However, it is critical and yet very challenging to ensure the safety of systems with neural network-based components, especially in dense and highly interactive traffic environments…”
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Thinking and Moving: An Efficient Computing Approach for Integrated Task and Motion Planning in Cooperative Embodied AI Systems (Invited Paper) by Wan, Zishen, Du, Yuhang, Ibrahim, Mohamed, Zhao, Yang, Krishna, Tushar, Raychowdhury, Arijit

“…Cooperative embodied AI systems, where multiple agents collaborate to accomplish complex, long-horizon tasks, show significant promise for real-world applications…”
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Primal/Dual Descent Methods for Dynamics by Macklin, M., Erleben, K., Müller, M., Chentanez, N., Jeschke, S., Kim, T.Y.

“…We examine the relationship between primal, or force‐based, and dual, or constraint‐based formulations of dynamics. Variational frameworks such as Projective…”
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Improving Collocated Robot Teleoperation with Augmented Reality by Hedayati, Hooman, Walker, Michael, Szafir, Daniel

“…Robot teleoperation can be a challenging task, often requiring a great deal of user training and expertise, especially for platforms with high…”
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