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Path planning techniques for mobile robots: Review and prospect., , , , , and . Expert Syst. Appl., (October 2023)Leveraging Graph Networks to Model Environments in Reinforcement Learning., , and . FLAIRS, AAAI Press, (2023)Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices., , , , , , , , , and 1 other author(s). PEARC, page 65:1-65:6. ACM, (2019)Vision-based Path Following of Snake-like Robots., , , and . ICRA, page 3084-3090. IEEE, (2021)Theoretical analysis and comparison of OAM waves generated by three kinds of antenna array., , , , , , , and . Digit. Commun. Networks, 7 (1): 16-28 (2021)A Reinforcement Learning-Based Strategy of Path Following for Snake Robots with an Onboard Camera., , and . Sensors, 22 (24): 9867 (2022)Graph Neural Network Based Behavior Prediction to Support Multi-Agent Reinforcement Learning in Military Training Simulations., , , and . WSC, page 1-12. IEEE, (2021)Separating Specular and Diffuse Reflection Components in the HSI Color Space., , and . ICCV Workshops, page 891-898. IEEE Computer Society, (2013)Goal-driven Motion Control of Snake Robots with Onboard Cameras via Policy Improvement with Path Integrals., , and . ROBIO, page 61-68. IEEE, (2021)