Control barrier functions (CBFs) have proven to be effective for obstacle avoidance in robot teleoperation systems. However, for classical CBF, model uncertainties and external disturbances can ...

On August 16, 2025, a humanoid robot tackled an obstacle course at the World Humanoid Robot Games. Footage showed the machine sprinting, climbing steps, and balancing on beams at Beijing's track ...

To address these challenges, this paper proposes an energy-aware obstacle avoidance data routing scheme for IoT-enabled WSNs using MS. It uses a Manta-ray Foraging Optimization (MRFO) algorithm to ...

An obstacle avoiding automatic car using Arduino is a simple autonomous vehicle that detects and avoids obstacles using ultrasonic sensors. The Arduino processes sensor data and controls the motors ...

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal ...