Kangtong Mo

According to our database, Kangtong Mo authored at least 6 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments.

Qi Chen, Rui Liu, Kangtong Mo, Boli Zhang, Dezhi Yu

CoRR, July, 2025

2024

Optimized Coordination Strategy for Multi-Aerospace Systems in Pick-and-Place Tasks By Deep Neural Network.

Ye Zhang, Linyue Chu, Letian Xu, Kangtong Mo, Zhengjian Kang, Xingyu Zhang

CoRR, 2024

Maximum Solar Energy Tracking Leverage High-DoF Robotics System with Deep Reinforcement Learning.

Anjie Jiang, Kangtong Mo, Satoshi Fujimoto, Michael Taylor, Sanjay Kumar, Dimitrios Chiotis, Emilia Ruiz

CoRR, 2024

DRAL: Deep Reinforcement Adaptive Learning for Multi-UAVs Navigation in Unknown Indoor Environment.

Kangtong Mo, Linyue Chu, Xingyu Zhang, Xiran Su, Yang Qian, Yining Ou, Wian Pretorius

CoRR, 2024

Self-Adaptive Robust Motion Planning for High DoF Robot Manipulator using Deep MPC.

Ye Zhang, Kangtong Mo, Fangzhou Shen, Xuanzhen Xu, Xingyu Zhang, Jiayue Yu, Chang Yu

CoRR, 2024

Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines.

Kangtong Mo, Wenyan Liu, Xuanzhen Xu, Chang Yu, Yuelin Zou, Fangqing Xia

CoRR, 2024