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20 thg 9, 2024 · A Survey on Sim-to-Real Transfer Methods for Robotic Manipulation Published in: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY)
11 thg 12, 2024 · We quantitatively assess the reality gap by simulating diverse conditions and conducting experiments on real hardware. Our findings provide insights into bridging the reality …
A survey of sim-to-real transfer techniques applied to reinforcement learning for bioinspired robots. Zhu, Wei and Guo, Xian and Owaki, Dai and Kutsuzawa, Kyo and Hayashibe, Mitsuhiro.
To enable this real-to-sim-to-real pipeline, RialTo proposes an easy-to-use interface for quickly scanning and constructing digital twins of real-world environments.
19 thg 9, 2024 · Our objective is to provide a thorough overview of current progress and to highlight promising avenues for future research in sim-to-real transfer, ultimately enhancing the …
26 thg 5, 2025 · In this survey, we give a comprehensive exploration of the latest advancements in Embodied AI. Our analysis firstly navigates through the forefront of representative works of …
OTS (Fast Optical Tactile Simulator) to generate simulated tactile images. Specif-ically, we present a more robust method that uti. izes a multi-layer perceptron to simulate the optical sy.
30 thg 8, 2025 · To solve this problem, sim-to-real transfer reinforcement learning methods are proposed to reduce the environmental gap, so as to achieve effective strategy transfer.
6 thg 3, 2024 · To enable this real-to-sim-to-real pipeline, RialTo proposes an easy-to-use interface for quickly scanning and constructing digital twins of real-world environments.
28 thg 7, 2023 · While previous work mainly evaluates DR for disembodied tasks, such as pose estimation and object detection, here we systematically explore visual domain randomization …
5 thg 11, 2024 · During the COVID-19 pandemic, there has been a significant need for autonomous and complex robot manipulators (Kroemer et al., 2021). In this study, we survey various in-hand …
1 thg 5, 2025 · Navigation and manipulation are core capabilities in Embodied AI, yet training agents with these capabilities in the real world faces high costs and time complexity. Therefore, sim-to …
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