The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements ...

The researchers demonstrated the system's feasibility and ease of use by controlling "Dreamer", a humanoid robot, from afar and enabling untrained members of the general public to take immediate ...

In a decentralized system, some of these functions move to the robot cabinet, into the arms and joints, and even embedded with the motors themselves. Figure 2 shows a simplified example of a ...

These robots require advanced control systems to manage their performance in movement or visual identification, especially in environments requiring human-like interaction. An Introduction to Clone ...

The adoption of AI-driven robotic pick-and-pack systems will be essential over the next decade to increase efficiency, reduce costs and meet rising demand. This will be the case across numerous ...

With absolute encoders on each motor the robot never has to be referenced, even after a loss of power. The RCP-DELTA control system is based on Aerotech’s A3200 Machine Controller. The A3200’s ...

"Our models include neural networks trained on simulated and experimental data and are integrated into the robot's control architecture to guarantee stable flight," explains Antonello Paolino ...

Tomahawk Robotics’ Kinesis AI-enabled common control system provides numerous advantages to Teal’s 4-Ship platform, including control handoff to other users without disrupting operations Compatible ...

ESAB Welding & Cutting Products introduces Swift Arc ML (Mobile Learning) System, a new fully contained robotic welding system for education and training, at Fabtech 2013, Booth N1449. Swift Arc ML is ...