GitHub

arduino_serial_bridge.py

1. Receiving /cmd_vel (Twist) and sending RPM commands to Arduino. 2. Reading Odometry (RPM) from Arduino and publishing /odom and TF. self.x = 0.0 self.y = 0.0 self.th = 0.0 rpm_right = (v_right * 60 ...
Frontiers

Path planning of industrial robots based on the adaptive field cooperative sampling algorithm

For the low efficiency and poor generalization ability of path planning algorithm of industrial robots, this work proposes an adaptive field co-sampling algorithm (AFCS). Firstly, the environment ...
Analytics Insight

Machine Learning Algorithms for Robotic Path Planning

These include such learning paradigms as Q-Learning and the Deep Q-Networks setups. Reinforcement Learning paradigms essentially aim at teaching robots to undertake certain actions that will be used ...
IEEE

Integration of Unity3D and Arduino for Simulating Autonomous Tractor Steering Control with Real-Time Path Following

Abstract: Path planning is an integral part of the autonomous vehicle. Before deploying any path planning algorithm on the actual hardware it is tested in simulation environment initially and later ...
GitHub

lv_vg_lite_path.h

* It is found that thorvg cannot handle large coordinates well. * When the coordinates are larger than 4096, the calculation of tvgSwRle module will overflow in 32-bit system. * So we use FLT_MAX and ...
IEEE

An Improved Artificial Potential Field Path Planning Based on Gradient Statistical Mutation Quantum Genetic Algorithm

Abstract: In the field of vehicle path planning, the traditional Artificial Potential Field (APF) has the disadvantage that it is difficult to jump out of the local extremum. Therefore, an improved ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...