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Akademický článek

Leave It to Large Language Models! Correction and Planning with Memory Integration

Autor: Yuan Zhang, Chao Wang, Juntong Qi, Yan Peng

Publikováno v: Cyborg and Bionic Systems, Vol 5 (2024)

As humans, we can naturally break down a task into individual steps in our daily lives and we are able to provide feedback or dynamically adjust the plan when encountering obstacles. Similarly, our aim is to facilitate agents in comprehending and car

Externí odkaz: https://doaj.org/article/a2476fbf381b4089b2b486dc63a303a4

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Akademický článek

Exploring into the Unseen: Enhancing Language-Conditioned Policy Generalization with Behavioral Information

Autor: Longhui Cao, Chao Wang, Juntong Qi, Yan Peng

Publikováno v: Cyborg and Bionic Systems, Vol 5 (2024)

Generalizing policies learned by agents in known environments to unseen domains is an essential challenge in advancing the development of reinforcement learning. Lately, language-conditioned policies have underscored the pivotal role of linguistic in

Externí odkaz: https://doaj.org/article/f31306d3e44e4a9891bcbda70a527459

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Akademický článek

A Cooperative Autonomous Scheduling Approach for Multiple Earth Observation Satellites With Intensive Missions

Autor: Juntong Qi, Jinjin Guo, Mingming Wang, Chong Wu

Publikováno v: IEEE Access, Vol 9, Pp 61646-61661 (2021)

Autonomous mission scheduling of multiple earth observation satellites (multi-EOSs) is considered as a complicated combinatorial optimization problem, which requires simultaneous consideration of imaging needs, resource constraints (electricity and m

Externí odkaz: https://doaj.org/article/d475dc91e0ea43e38cfc534cec1def3d

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Akademický článek

Robust fault diagnosis and fault-tolerant control for nonlinear quadrotor unmanned aerial vehicle system with unknown actuator faults

Autor: Jinjin Guo, Juntong Qi, Chong Wu

Publikováno v: International Journal of Advanced Robotic Systems, Vol 18 (2021)

This article addresses the problem that quadrotor unmanned aerial vehicle (UAV) actuator faults, including small-amplitude bias faults and gain degradation, cannot be detected in time. A hybrid observer, which combines the fast convergence from adapt

Externí odkaz: https://doaj.org/article/960dc535e06247afac8b83b5e6a1bf12

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