DR-PETS: Learning-Based Control With Planning in Adversarial Environments
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DOI: 10.1109/lcsys.2025.3587053
Abstract: The probabilistic ensembles with trajectory sampling (PETS) algorithm is a recognized baseline among model-based reinforcement learning (MBRL) methods. PETS incorporates planning and handles uncertainty using ensemble-based probabilistic models. However, no formal robustness guarantees against epistemic… read more here.
Keywords: control; pets learning; learning based; based control ... See more keywords
Wireless Multi-Robot Collaboration: Communications, Perception, Control, and Planning
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DOI: 10.1109/mnet.2024.3483829
Abstract: The Internet of Robots integrates robotic devices with wireless networks and cloud computing, which is widely applied in manufacturing, autonomous driving, agriculture and so on. However, The communication capabilities of robots are constrained in complex… read more here.
Keywords: perception control; perception; multi; control planning ... See more keywords