Frontiers

Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators

Institute of Robotics and Intelligent Systems, Wuhan University of Science and Technology, Wuhan, Hubei, China Introduction: An accurate inverse dynamics model of manipulators can be effectively ...
IEEE

Joint Position and Velocity Bounds in Discrete-Time Acceleration/Torque Control of Robot Manipulators

Abstract: This letter deals with the problem of controlling a robotic system whose joints have bounded position, velocity, and acceleration/torque. Assuming a discrete-time acceleration control, we ...
GitHub

UAV Drone: Object Tracking using Kalman Filter

In our scenario, we have a drone that is engaged in delivering packages within a bustling urban environment. Unlike other existing systems in the market where packages are dropped from above using ...
GitHub

Reciprocal Collision Avoidance with Acceleration-Velocity Obstacles

We present an approach for collision avoidance for mobile robots that takes into account acceleration constraints. We discuss both the case of navigating a single robot among moving obstacles, and the ...
IEEE

Position-Aware Structural Knowledge Sharing-Based Federated Graph Learning for Intelligent Transportation Systems

Abstract: Federated Graph Learning (FGL) combines the powerful graph data modeling capabilities of Graph Neural Networks (GNNs) with the distributed processing requirements of intelligent ...