It’s always nice to simulate a project before soldering a board together. Tools like QUCS run locally and work quite well for ...
This repository contains a Simscape model of a quadrupeded robot able to walk on flat and inclined terrain, with a environment that presents different obstacles, and the posibility of open-loop or ...
Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user interaction and reduces mechanical dependency on physical controllers.
Abstract: The importance of ground mobile robots (MRs) and unmanned aerial vehicles (UAVs) within the research community, industry, and society is growing fast. Nowadays, many of these agents are ...
Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...
At embedded world 2026, Brian Tristam Williams spoke with Manny Singh from Qualcomm about how they're bringing together Arduino, Edge Impulse, and its broader developer strategy to simplify AI and ...
Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL neural network (TD3, SAC), a robot learns to navigate to a random goal point in a simulated environment ...
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