Tech Xplore

An AI-powered control system for robots with legs

Walking robots, such as quadruped robotic dogs, must be able to move safely through rough, often changing environments. Today ...

How AI could enable autonomous robot workers in workplaces—and maybe homes

In a world where self-driving robotaxis glide through major city streets without drivers behind the wheel and delivery drones ...
Tech Xplore

Researchers discover a smarter way to solve vehicle routing problems using adaptive swarm learning

Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
The Robot Report

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity

Humanoid says its KinetIQ Ascend approach can reach 99.9% manipulation reliability at human speed and beyond for industrial ...
IEEE

Comparison of Tuning Techniques for PID Controllers in Mobile Robots Using the Empirical Method and the Firefly Metaheuristic Algorithm

Abstract: Trajectory tracking remains a fundamental chal-lenge in mobile robotics, particularly for non-holonomic differential-drive robots such as those used in the IEEE Very Small Size Soccer (VSSS) ...
IEEE

Fuzzy Neural Dynamics for Kinematic Learning and Simultaneous Control of Redundant Robots

Abstract: The accuracy of the kinematic information of a redundant robot directly influences the control performance of its end-effector. However, in practical applications, kinematic parameters may ...