Explainability and traceability of AI-based software are crucial elements for the safe deployment and successful certification of automated vehicles. TNO’s hybrid AI approach enhances the reasoning ...

Topological complexity is a central concept that bridges the abstract methodologies of algebraic topology with the practical challenges of robot motion planning. It provides a numerical invariant that ...

Posts from this topic will be added to your daily email digest and your homepage feed. is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Getting robots to move ...

One of the jobs for which robots are best suited is the tedious, repetitive “pick and place” task common in warehouses — but humans are still much better at it. UC Berkeley researchers are picking up ...

Daniel Sorin is a co-founder of Realtime Robotics, Inc. He has received funding from the Open Source Robotics Foundation (which received its funds from DARPA). George Konidaris is a co-founder of ...

Time-optimal motion planning represents a critical area in robotics research, focusing on the design of trajectories that minimise execution time while respecting kinematic and dynamic constraints.

The process of bringing collaborative capabilities to industrial robots first began appearing on the automation scene about three years ago when we saw some of the first demonstrations of Realtime ...

Why aren’t there more robots in homes? This a surprising complex question — and our homes are surprisingly complex places. A big part of the reason autonomous systems are thriving on warehouse and ...

The top layer of the scalable vehicle dynamics control architecture is a generic applicationlayer that includes interactive driving, remote control of the vehicle and semi- or fully autonomous driving ...