3 papers
cs.RO2025
DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments
Qi Chen, Rui Liu, Kangtong Mo +2
Trajectory planning for robotic manipulators operating in dynamic orbital debris environments poses significant challenges due to complex obstacle movements and uncertainties. This…
cs.RO2024
Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network
Ye Zhang, Linyue Chu, Letian Xu +3
In this paper, we present an advanced strategy for the coordinated control of a multi-agent aerospace system, utilizing Deep Neural Networks (DNNs) within a reinforcement learning…
cs.RO2024
Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning
Anjie Jiang, Kangtong Mo, Satoshi Fujimoto +4
Solar trajectory monitoring is a pivotal challenge in solar energy systems, underpinning applications such as autonomous energy harvesting and environmental sensing. A prevalent fa…