Revisiting Inverse Steering: Early Behaviour Arbitration and Its Connection to Model Predictive Control
By Categories: AI, RoboCup

Back in 2003, we introduced a method for real-time action selection in dynamic environments, based on what we called inverse steering behaviours. The idea was to evaluate several possible movement directions at each time step and assign a cost to each, based on how well it satisfied goals like seeking a target, avoiding obstacles, or…
A simulated warehouse scene with high shelves and pallets

Cognitive Robotics meets logistics: smarter robots for smarter supply chains
By Categories: AI, introduction, logistics

Why logistics needs smarter robots The logistics industry is evolving rapidly, with automation playing an increasing role in warehouses, supply chains, and transport hubs. While industrial robots have long been used in manufacturing, these systems are designed for structured environments—fixed conveyor belts, repetitive motions, and pre-programmed tasks. However, real-world logistics is unpredictable. Packages arrive in…
Tarot 4008 BLDC motor

BLDC motor selection for robotics projects
By Categories: introduction, RoboCup Tags: , ,

When building a robotics project, choosing the right motor is crucial. Brushless DC (BLDC) motors are most commonly used in high performance robotics. Whether you’re developing a mobile robot or a robotic arm, understanding motor specifications helps balance performance, efficiency, and cost. Let’s explore key concepts and trade-offs in motor selection, with some practical examples…