Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is ...

November 2025 started with the Robotics Startup Radar and continued with news from important players in the robotics industry ...

Scientists summarize, compare and contrast research in learned robot manipulation through the lens of adaptability and outline promising research directions for the future. What if a robot could ...

Reactive planning and control capacity for collaborative robots is essential when the tasks change online in an unstructured environment. This is more difficult for collaborative mobile manipulators ...

Let’s face it, robots are cool. They’re also going to run the world some day, and hopefully, at that time they will take pity on their poor soft fleshy creators (a.k.a. robotics developers) and help ...

Now, as a student in Northwestern Engineering's Master of Science in Robotics (MSR) program, Patil developed an open-source software package that filled what he saw as a gap in the robotics community.

Reasoning, decision making, and assurance advances artificial intelligence to enable autonomous systems to make reliable, safe decisions in complex, uncertain environments. This area combines AI with ...

What makes a humanoid hand so fascinating? Imagine a robotic gripper delicately assembling intricate components on a factory floor or carefully holding fragile medical instruments during surgery.

Abhishek Patil (MSR '16) talks about robotics in construction and how his time in Northwestern Engineering's Master of Science in Robotics (MSR) program prepared him to help develop cutting-edge ...