Simulated Robot Navigates Obstacles but Reveals the Cost of Purely Reactive Control
A simulation study found that a PID-and-reactive navigation scheme kept a mobile robot collision-free but slowed it to 0.17 m/s ...
A simulation study found that a PID-and-reactive navigation scheme kept a mobile robot collision-free but slowed it to 0.17 m/s ...
A MATLAB simulation combining Theta* planning, potential field avoidance, Pure Pursuit tracking and LIDAR mapping reached the goal in nine ...
Scientists have built the first fully edible tilt sensor that measures continuous tilt angles from 0 to 80 degrees using ...
A new reinforcement learning method called FA-PPO was the only tested algorithm to complete simulated UAV obstacle-avoidance tasks across three ...
A new analytical safety boundary method lets camera-guided drones avoid obstacles while keeping their target in view, without manual retuning ...
MIT researchers have developed SANDO, a trajectory planning system that mathematically guarantees a drone's flight path will remain collision-free even ...
Researchers in China have developed a behavior-based control strategy that lets drone formations contract through tight spaces, follow obstacle walls, ...
A new hierarchical framework combining an obstacle-aware A* algorithm, B-spline smoothing, and fuzzy-adaptive dynamic window control lifts mobile robot obstacle ...
Researchers have built a vectorized simulation and reward framework that trains autonomous microrobot navigation policies in under ten minutes, enabling ...
Researchers have developed a UAV navigation framework that detects GPS spoofing with sparse autoencoders, fuses multi-sensor data for obstacle avoidance, ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine