A new technology advance has led to the introduction of new actuators that combine motor, drive, gearing, and feedback into a single CANopen device that relieves much of the burden of traditional ...
Abstract: Maintaining stable and efficient formation in multi-robot systems is a challenging task, especially under communication time delays and system nonlinearities. This paper addresses these ...
Welcome to Python Physics Lesson 5, where we explore projectile motion with drag forces. In this lesson, we go beyond idealized motion to show how air resistance affects trajectories, velocity, and ...
Chinese robotics firm X-Humanoid has launched Embodied TienKung 3.0, its next-gen general-purpose robot platform, on Tuesday. Designed to be “more open and easier to use”, the platform leverages the ...
Abstract: Magnetic microrobots are showing great potential in micromanipulation due to the capability of motion control under external fields. However, achieving selective control of magnetic ...
Ruihang Chu, Yefei He, Zhekai Chen, Shiwei Zhang, Xiaogang Xu, Bin Xia, Dingdong Wang, Hongwei Yi, Xihui Liu, Hengshuang Zhao, Yu Liu, Yingya Zhang, Yujiu Yang We present our NeurIPS 2025 paper ...
A comprehensive hierarchical multi-agent reinforcement learning system for optimizing city-wide traffic signal control. This project combines cutting-edge deep RL techniques with practical traffic ...
Complex integration challenges associated with melding traditional drives and motion control systems with modern Industry 4.0 technologies stands as one of the biggest obstacles to smart manufacturing ...
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