Robots with multi-jointed arms must plan their motion, a difficult problem that requires time-consuming computation. Simply picking an object up in an environment that has not been pre-engineered for ...

Efficient motion planning is crucial in robotic systems, especially in the fast-paced world of commercial kitchens. For Miso’s customers, optimized motion means faster task completion, less downtime, ...

Sometimes described as the “piano mover’s problem,” motion planning refers to the challenge of dealing with scenarios by working out which movements to make. It’s something that humans pick up ...

A new technical paper titled “Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware” was published by researchers at TU Munich. Abstract “Ensuring the functional ...

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 ...

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 ...

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 ...

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 ...

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 ...