External Control
External control research focuses on developing methods to precisely manipulate and regulate the behavior of complex systems, ranging from robots and large language models to physical processes and biological systems. Current research emphasizes the development of robust and efficient control algorithms, often leveraging deep reinforcement learning, model predictive control, and generative models, alongside novel architectures like hybrid systems and multi-agent approaches. These advancements are crucial for improving the performance, safety, and adaptability of autonomous systems across diverse applications, from robotics and manufacturing to healthcare and environmental monitoring. The development of more efficient and generalizable control methods remains a key focus.
Papers
The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control
Ruili Feng, Han Zhang, Zhantao Yang, Jie Xiao, Zhilei Shu, Zhiheng Liu, Andy Zheng, Yukun Huang, Yu Liu, Hongyang Zhang
Design and Control of an Ultra-Slender Push-Pull Multisection Continuum Manipulator for In-Situ Inspection of Aeroengine
Weiheng Zhong, Yuancan Huang, Da Hong, Nianfeng Shao
Multi-Action Restless Bandits with Weakly Coupled Constraints: Simultaneous Learning and Control
Jing Fu, Bill Moran, José Niño-Mora
Sparse Hierarchical Non-Linear Programming for Inverse Kinematic Planning and Control with Autonomous Goal Selection
Kai Pfeiffer
Ponder & Press: Advancing Visual GUI Agent towards General Computer Control
Yiqin Wang, Haoji Zhang, Jingqi Tian, Yansong Tang
Quantization-Aware Imitation-Learning for Resource-Efficient Robotic Control
Seongmin Park, Hyungmin Kim, Wonseok Jeon, Juyoung Yang, Byeongwook Jeon, Yoonseon Oh, Jungwook Choi
Upside-Down Reinforcement Learning for More Interpretable Optimal Control
Juan Cardenas-Cartagena, Massimiliano Falzari, Marco Zullich, Matthia Sabatelli
Operator Splitting Covariance Steering for Safe Stochastic Nonlinear Control
Akash Ratheesh, Vincent Pacelli, Augustinos D. Saravanos, Evangelos A. Theodorou