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 ...

As drones become more and more prevalent and useful, there is a need to make drones smarter and to allow them to operate in harsher environments. To successfully operate in a forest environment or ...

Spherical robots comprise a class of mobile systems characterised by a fully enclosed spherical shell that integrates internal actuation mechanisms. Their dynamics are defined by complex nonholonomic ...

The act of picking up a coffee cup from a table, despite being relatively simple for a human being, actually involves extremely complex calculations as we spontaneously plan a trajectory around ...

New algorithms for trajectory planning and control of fixed-wing 'tailsitter' aircraft are faster and more efficient than traditional quadcopter drones. The algorithms can execute challenging ...

In many applications, especially for spot welding tasks, industrial robots should move as fast as possible in order to minimize cycle time and production cost. This problem can only be solved with ...

Learn about Mujin’s approach to using digital twin technology, real-time motion planning and AI-driven autonomy in its Mujin OS. Get insights on Mujin OS’s no-code robot deployment, autonomous ...

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 ...

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. “Ensuring the functional safety of ...

The internal model principle of control theory states that algorithms designed to perfectly reject input signals must contain a model of that input. Feedback control that adheres to this internal ...